Triple

T4489043
Position Surface form Disambiguated ID Type / Status
Subject James G. March E107321 entity
Predicate workInstitution P1203 FINISHED
Object Stanford University Department of Political Science
The Stanford University Department of Political Science is a leading academic department renowned for its influential research and teaching in political theory, comparative politics, international relations, and American politics.
E446938 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Stanford University Department of Political Science | Statement: [James G. March, workInstitution, Stanford University Department of Political Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanford University Department of Political Science
Context triple: [James G. March, workInstitution, Stanford University Department of Political Science]
  • A. University of California, Berkeley Department of Political Science
    The University of California, Berkeley Department of Political Science is a leading academic department renowned for its influential scholarship and teaching across comparative politics, international relations, political theory, and American politics.
  • B. Yale Department of Political Science
    The Yale Department of Political Science is a leading academic department at Yale University known for its influential scholarship and teaching across political theory, comparative politics, international relations, and American politics.
  • C. MIT Department of Political Science
    The MIT Department of Political Science is a leading academic department that conducts research and offers undergraduate and graduate programs in areas such as international relations, comparative politics, political economy, and security studies.
  • D. Institute of Politics
    The Institute of Politics is a Harvard Kennedy School center that promotes public service and civic engagement by connecting students with political leaders, practitioners, and policy-focused programs.
  • E. Harvard University Department of Government
    The Harvard University Department of Government is a leading political science department renowned for its research and teaching on politics, governance, and public policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stanford University Department of Political Science
Triple: [James G. March, workInstitution, Stanford University Department of Political Science]
Generated description
The Stanford University Department of Political Science is a leading academic department renowned for its influential research and teaching in political theory, comparative politics, international relations, and American politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stanford University Department of Political Science
Target entity description: The Stanford University Department of Political Science is a leading academic department renowned for its influential research and teaching in political theory, comparative politics, international relations, and American politics.
  • A. University of California, Berkeley Department of Political Science
    The University of California, Berkeley Department of Political Science is a leading academic department renowned for its influential scholarship and teaching across comparative politics, international relations, political theory, and American politics.
  • B. Yale Department of Political Science
    The Yale Department of Political Science is a leading academic department at Yale University known for its influential scholarship and teaching across political theory, comparative politics, international relations, and American politics.
  • C. MIT Department of Political Science
    The MIT Department of Political Science is a leading academic department that conducts research and offers undergraduate and graduate programs in areas such as international relations, comparative politics, political economy, and security studies.
  • D. Institute of Politics
    The Institute of Politics is a Harvard Kennedy School center that promotes public service and civic engagement by connecting students with political leaders, practitioners, and policy-focused programs.
  • E. Harvard University Department of Government
    The Harvard University Department of Government is a leading political science department renowned for its research and teaching on politics, governance, and public policy.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52ad36748190b791de458f2116b2 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67a90f308190ab4f912cd1e2f692 completed March 20, 2026, 3:28 p.m.
NEDg Description generation batch_69bd68d76cfc819083071015add540dc completed March 20, 2026, 3:33 p.m.
NED2 Entity disambiguation (via description) batch_69bd698f0f148190ae3ad5193cba0851 completed March 20, 2026, 3:36 p.m.
Created at: March 20, 2026, 12:59 p.m.