diff --git a/src/documentation/evaluate_with_studio.ipynb b/src/documentation/evaluate_with_studio.ipynb
index 2f5e3495..06261c58 100644
--- a/src/documentation/evaluate_with_studio.ipynb
+++ b/src/documentation/evaluate_with_studio.ipynb
@@ -2,20 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "from pathlib import Path\n",
@@ -61,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -79,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -104,21 +93,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'label': 'Finance',\n",
-       " 'message': 'I just traveled to Paris for a conference, where can I get the train ride refunded?'}"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data[0]"
    ]
@@ -145,17 +122,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataset ID: 5e3ce59d-f87c-448d-b811-c02ecae1588d\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "all_labels = list(set(item[\"label\"] for item in data))\n",
     "dataset = studio_dataset_repository.create_dataset(\n",
@@ -183,17 +152,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Benchmark ID: ec40c09a-0472-4c70-bd48-7427e4abc87f\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import random\n",
     "import string\n",
@@ -224,32 +185,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Running Task: 100%|██████████| 24/24 [00:56<00:00,  2.37s/it]\n",
-      "Evaluating: 24it [00:00, 92691.80it/s]\n",
-      "Submitting traces to Studio: 100%|██████████| 24/24 [00:01<00:00, 21.70it/s]\n"
-     ]
-    },
-    {
-     "ename": "AttributeError",
-     "evalue": "'list' object has no attribute 'model_dump_json'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mbenchmark\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mPromptBasedClassify\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mClassify v0.0 with Luminous\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/Documents/GitHub/intelligence-layer-sdk/src/intelligence_layer/evaluation/benchmark/studio_benchmark.py:161\u001b[0m, in \u001b[0;36mStudioBenchmark.execute\u001b[0;34m(self, task, name, description, labels, metadata)\u001b[0m\n\u001b[1;32m    155\u001b[0m     trace_ids\u001b[38;5;241m.\u001b[39mappend(trace_id)\n\u001b[1;32m    157\u001b[0m benchmark_lineages \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_create_benchmark_lineages(\n\u001b[1;32m    158\u001b[0m     eval_lineages\u001b[38;5;241m=\u001b[39mevaluation_lineages,\n\u001b[1;32m    159\u001b[0m     trace_ids\u001b[38;5;241m=\u001b[39mtrace_ids,\n\u001b[1;32m    160\u001b[0m )\n\u001b[0;32m--> 161\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msubmit_benchmark_lineages\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    162\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbenchmark_lineages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbenchmark_lineages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    163\u001b[0m \u001b[43m    \u001b[49m\u001b[43mexecution_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbenchmark_execution_id\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    164\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbenchmark_id\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mid\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    165\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    167\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m benchmark_execution_id\n",
-      "File \u001b[0;32m~/Documents/GitHub/intelligence-layer-sdk/src/intelligence_layer/connectors/studio/studio.py:501\u001b[0m, in \u001b[0;36mStudioClient.submit_benchmark_lineages\u001b[0;34m(self, benchmark_lineages, benchmark_id, execution_id)\u001b[0m\n\u001b[1;32m    487\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msubmit_benchmark_lineages\u001b[39m(\n\u001b[1;32m    488\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m    489\u001b[0m     benchmark_lineages: PostBenchmarkLineagesRequest,\n\u001b[1;32m    490\u001b[0m     benchmark_id: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m    491\u001b[0m     execution_id: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m    492\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m:\n\u001b[1;32m    493\u001b[0m     url \u001b[38;5;241m=\u001b[39m urljoin(\n\u001b[1;32m    494\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39murl,\n\u001b[1;32m    495\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/api/projects/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mproject_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/evaluation/benchmarks/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mbenchmark_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/executions/\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexecution_id\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m/lineages\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m    496\u001b[0m     )\n\u001b[1;32m    498\u001b[0m     response \u001b[38;5;241m=\u001b[39m requests\u001b[38;5;241m.\u001b[39mpost(\n\u001b[1;32m    499\u001b[0m         url,\n\u001b[1;32m    500\u001b[0m         headers\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_headers,\n\u001b[0;32m--> 501\u001b[0m         data\u001b[38;5;241m=\u001b[39m\u001b[43mbenchmark_lineages\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmodel_dump_json\u001b[49m(),\n\u001b[1;32m    502\u001b[0m     )\n\u001b[1;32m    504\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_raise_for_status(response)\n\u001b[1;32m    505\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mstr\u001b[39m(response\u001b[38;5;241m.\u001b[39mjson())\n",
-      "\u001b[0;31mAttributeError\u001b[0m: 'list' object has no attribute 'model_dump_json'"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "benchmark.execute(PromptBasedClassify(), \"Classify v0.0 with Luminous\")"
    ]
@@ -265,19 +203,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'benchmark' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[2], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mbenchmark\u001b[49m\u001b[38;5;241m.\u001b[39mexecute(\n\u001b[1;32m      2\u001b[0m     PromptBasedClassify(model\u001b[38;5;241m=\u001b[39mLlama3InstructModel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mllama-3.1-8b-instruct\u001b[39m\u001b[38;5;124m\"\u001b[39m)),\n\u001b[1;32m      3\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mClassify v0.1 with Llama\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m      4\u001b[0m )\n",
-      "\u001b[0;31mNameError\u001b[0m: name 'benchmark' is not defined"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "benchmark.execute(\n",
     "    PromptBasedClassify(model=Llama3InstructModel(\"llama-3.1-8b-instruct\")),\n",
diff --git a/src/documentation/how_tos/how_to_retrieve_data_for_analysis.ipynb b/src/documentation/how_tos/how_to_retrieve_data_for_analysis.ipynb
index 1562abd6..e212fa24 100644
--- a/src/documentation/how_tos/how_to_retrieve_data_for_analysis.ipynb
+++ b/src/documentation/how_tos/how_to_retrieve_data_for_analysis.ipynb
@@ -2,20 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Running Task: 100%|██████████| 2/2 [00:00<00:00, 5866.16it/s]\n",
-      "Running Task: 100%|██████████| 2/2 [00:00<00:00, 6533.18it/s]\n",
-      "Evaluating: 2it [00:00, 73584.28it/s]\n",
-      "Evaluating: 2it [00:00, 66576.25it/s]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "from example_data import DummyEvaluation, example_data\n",
     "\n",
@@ -43,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,207 +70,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>input</th>\n",
-       "      <th>expected_output</th>\n",
-       "      <th>metadata</th>\n",
-       "      <th>data</th>\n",
-       "      <th>output</th>\n",
-       "      <th>result</th>\n",
-       "      <th>tracer</th>\n",
-       "      <th>lineage</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>example_id</th>\n",
-       "      <th>evaluation_id</th>\n",
-       "      <th>run_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">42738278-d0c7-4be1-a004-5a2c6c2f87dd</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">22060193-9854-40dd-b368-507ace613fc8</th>\n",
-       "      <th>80dd94d6-a188-4e34-8d80-f2ed56ac3e77</th>\n",
-       "      <td>input1</td>\n",
-       "      <td>expected_output1</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data1</td>\n",
-       "      <td>input1 -&gt; output</td>\n",
-       "      <td>eval='input1, expected_output1, (input1 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2c9fe8be-db65-4589-9b28-7aba7ab74f0f</th>\n",
-       "      <td>input1</td>\n",
-       "      <td>expected_output1</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data1</td>\n",
-       "      <td>input1 -&gt; output</td>\n",
-       "      <td>eval='input1, expected_output1, (input1 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">e02b58a2-a1c1-49d3-99db-c13cc79a2359</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">22060193-9854-40dd-b368-507ace613fc8</th>\n",
-       "      <th>80dd94d6-a188-4e34-8d80-f2ed56ac3e77</th>\n",
-       "      <td>input0</td>\n",
-       "      <td>expected_output0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data0</td>\n",
-       "      <td>input0 -&gt; output</td>\n",
-       "      <td>eval='input0, expected_output0, (input0 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2c9fe8be-db65-4589-9b28-7aba7ab74f0f</th>\n",
-       "      <td>input0</td>\n",
-       "      <td>expected_output0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data0</td>\n",
-       "      <td>input0 -&gt; output</td>\n",
-       "      <td>eval='input0, expected_output0, (input0 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                                                                                 input  \\\n",
-       "example_id                           evaluation_id                        run_id                                         \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input1   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input1   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input0   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input0   \n",
-       "\n",
-       "                                                                                                                 expected_output  \\\n",
-       "example_id                           evaluation_id                        run_id                                                   \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  expected_output1   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  expected_output1   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  expected_output0   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  expected_output0   \n",
-       "\n",
-       "                                                                                                               metadata  \\\n",
-       "example_id                           evaluation_id                        run_id                                          \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77     None   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f     None   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77     None   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f     None   \n",
-       "\n",
-       "                                                                                                                 data  \\\n",
-       "example_id                           evaluation_id                        run_id                                        \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  data1   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  data1   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  data0   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  data0   \n",
-       "\n",
-       "                                                                                                                          output  \\\n",
-       "example_id                           evaluation_id                        run_id                                                   \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input1 -> output   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input1 -> output   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input0 -> output   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input0 -> output   \n",
-       "\n",
-       "                                                                                                                                                           result  \\\n",
-       "example_id                           evaluation_id                        run_id                                                                                    \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  eval='input1, expected_output1, (input1 -> out...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  eval='input1, expected_output1, (input1 -> out...   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  eval='input0, expected_output0, (input0 -> out...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  eval='input0, expected_output0, (input0 -> out...   \n",
-       "\n",
-       "                                                                                                                                                           tracer  \\\n",
-       "example_id                           evaluation_id                        run_id                                                                                    \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "\n",
-       "                                                                                                                                                          lineage  \n",
-       "example_id                           evaluation_id                        run_id                                                                                   \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.evaluation.infrastructure....  \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.evaluation.infrastructure....  \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.evaluation.infrastructure....  \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.evaluation.infrastructure....  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Run Lineage\n",
-       "├── Example: e02b58a2-a1c1-49d3-99db-c13cc79a2359\n",
-       "│   ├── Input\n",
-       "│   │   └── input0\n",
-       "│   └── Expected Output\n",
-       "│       └── expected_output0\n",
-       "├── Outputs\n",
-       "│   ├── Output: 80dd94d6-a188-4e34-8d80-f2ed56ac3e77\n",
-       "│   │   └── input0 -&gt; output\n",
-       "│   └── Output: 2c9fe8be-db65-4589-9b28-7aba7ab74f0f\n",
-       "│       └── input0 -&gt; output\n",
-       "└── Evaluation: 22060193-9854-40dd-b368-507ace613fc8\n",
-       "    └── eval='input0, expected_output0, (input0 -&gt; output, input0 -&gt; output) -&gt; evaluation'\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Run Lineage\n",
-       "├── Example: e02b58a2-a1c1-49d3-99db-c13cc79a2359\n",
-       "│   ├── Input\n",
-       "│   │   └── input0\n",
-       "│   └── Expected Output\n",
-       "│       └── expected_output0\n",
-       "├── Outputs\n",
-       "│   ├── Output: 80dd94d6-a188-4e34-8d80-f2ed56ac3e77\n",
-       "│   │   └── input0 -> output\n",
-       "│   └── Output: 2c9fe8be-db65-4589-9b28-7aba7ab74f0f\n",
-       "│       └── input0 -> output\n",
-       "└── Evaluation: 22060193-9854-40dd-b368-507ace613fc8\n",
-       "    └── eval='input0, expected_output0, (input0 -> output, input0 -> output) -> evaluation'\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Step 1 - retrieve linked data across all repositories\n",
     "\n",
@@ -313,207 +104,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th>input</th>\n",
-       "      <th>expected_output</th>\n",
-       "      <th>metadata</th>\n",
-       "      <th>data</th>\n",
-       "      <th>output</th>\n",
-       "      <th>result</th>\n",
-       "      <th>tracer</th>\n",
-       "      <th>lineage</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>example_id</th>\n",
-       "      <th>evaluation_id</th>\n",
-       "      <th>run_id</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">42738278-d0c7-4be1-a004-5a2c6c2f87dd</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">22060193-9854-40dd-b368-507ace613fc8</th>\n",
-       "      <th>80dd94d6-a188-4e34-8d80-f2ed56ac3e77</th>\n",
-       "      <td>input1</td>\n",
-       "      <td>expected_output1</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data1</td>\n",
-       "      <td>input1 -&gt; output</td>\n",
-       "      <td>eval='input1, expected_output1, (input1 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2c9fe8be-db65-4589-9b28-7aba7ab74f0f</th>\n",
-       "      <td>input1</td>\n",
-       "      <td>expected_output1</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data1</td>\n",
-       "      <td>input1 -&gt; output</td>\n",
-       "      <td>eval='input1, expected_output1, (input1 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">e02b58a2-a1c1-49d3-99db-c13cc79a2359</th>\n",
-       "      <th rowspan=\"2\" valign=\"top\">22060193-9854-40dd-b368-507ace613fc8</th>\n",
-       "      <th>80dd94d6-a188-4e34-8d80-f2ed56ac3e77</th>\n",
-       "      <td>input0</td>\n",
-       "      <td>expected_output0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data0</td>\n",
-       "      <td>input0 -&gt; output</td>\n",
-       "      <td>eval='input0, expected_output0, (input0 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2c9fe8be-db65-4589-9b28-7aba7ab74f0f</th>\n",
-       "      <td>input0</td>\n",
-       "      <td>expected_output0</td>\n",
-       "      <td>None</td>\n",
-       "      <td>data0</td>\n",
-       "      <td>input0 -&gt; output</td>\n",
-       "      <td>eval='input0, expected_output0, (input0 -&gt; out...</td>\n",
-       "      <td>&lt;intelligence_layer.core.tracer.in_memory_trac...</td>\n",
-       "      <td>&lt;intelligence_layer.evaluation.infrastructure....</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                                                                                 input  \\\n",
-       "example_id                           evaluation_id                        run_id                                         \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input1   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input1   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input0   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input0   \n",
-       "\n",
-       "                                                                                                                 expected_output  \\\n",
-       "example_id                           evaluation_id                        run_id                                                   \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  expected_output1   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  expected_output1   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  expected_output0   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  expected_output0   \n",
-       "\n",
-       "                                                                                                               metadata  \\\n",
-       "example_id                           evaluation_id                        run_id                                          \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77     None   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f     None   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77     None   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f     None   \n",
-       "\n",
-       "                                                                                                                 data  \\\n",
-       "example_id                           evaluation_id                        run_id                                        \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  data1   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  data1   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  data0   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  data0   \n",
-       "\n",
-       "                                                                                                                          output  \\\n",
-       "example_id                           evaluation_id                        run_id                                                   \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input1 -> output   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input1 -> output   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  input0 -> output   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  input0 -> output   \n",
-       "\n",
-       "                                                                                                                                                           result  \\\n",
-       "example_id                           evaluation_id                        run_id                                                                                    \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  eval='input1, expected_output1, (input1 -> out...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  eval='input1, expected_output1, (input1 -> out...   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  eval='input0, expected_output0, (input0 -> out...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  eval='input0, expected_output0, (input0 -> out...   \n",
-       "\n",
-       "                                                                                                                                                           tracer  \\\n",
-       "example_id                           evaluation_id                        run_id                                                                                    \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.core.tracer.in_memory_trac...   \n",
-       "\n",
-       "                                                                                                                                                          lineage  \n",
-       "example_id                           evaluation_id                        run_id                                                                                   \n",
-       "42738278-d0c7-4be1-a004-5a2c6c2f87dd 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.evaluation.infrastructure....  \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.evaluation.infrastructure....  \n",
-       "e02b58a2-a1c1-49d3-99db-c13cc79a2359 22060193-9854-40dd-b368-507ace613fc8 80dd94d6-a188-4e34-8d80-f2ed56ac3e77  <intelligence_layer.evaluation.infrastructure....  \n",
-       "                                                                          2c9fe8be-db65-4589-9b28-7aba7ab74f0f  <intelligence_layer.evaluation.infrastructure....  "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Run Lineage\n",
-       "├── Example: e02b58a2-a1c1-49d3-99db-c13cc79a2359\n",
-       "│   ├── Input\n",
-       "│   │   └── input0\n",
-       "│   └── Expected Output\n",
-       "│       └── expected_output0\n",
-       "├── Outputs\n",
-       "│   ├── Output: 80dd94d6-a188-4e34-8d80-f2ed56ac3e77\n",
-       "│   │   └── input0 -&gt; output\n",
-       "│   └── Output: 2c9fe8be-db65-4589-9b28-7aba7ab74f0f\n",
-       "│       └── input0 -&gt; output\n",
-       "└── Evaluation: 22060193-9854-40dd-b368-507ace613fc8\n",
-       "    └── eval='input0, expected_output0, (input0 -&gt; output, input0 -&gt; output) -&gt; evaluation'\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "Run Lineage\n",
-       "├── Example: e02b58a2-a1c1-49d3-99db-c13cc79a2359\n",
-       "│   ├── Input\n",
-       "│   │   └── input0\n",
-       "│   └── Expected Output\n",
-       "│       └── expected_output0\n",
-       "├── Outputs\n",
-       "│   ├── Output: 80dd94d6-a188-4e34-8d80-f2ed56ac3e77\n",
-       "│   │   └── input0 -> output\n",
-       "│   └── Output: 2c9fe8be-db65-4589-9b28-7aba7ab74f0f\n",
-       "│       └── input0 -> output\n",
-       "└── Evaluation: 22060193-9854-40dd-b368-507ace613fc8\n",
-       "    └── eval='input0, expected_output0, (input0 -> output, input0 -> output) -> evaluation'\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Step 1 - retrieve linked data via the `Runner`/`Evaluator`\n",
     "my_evaluator = example_data.evaluator\n",