Triple

T3865740
Position Surface form Disambiguated ID Type / Status
Subject Pat Hanrahan E91847 entity
Predicate name P16 FINISHED
Object Pat Hanrahan E91847 NE FINISHED

How this triple was built (2 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: Pat Hanrahan | Statement: [Pat Hanrahan, name, Pat Hanrahan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Hanrahan
Context triple: [Pat Hanrahan, name, Pat Hanrahan]
  • A. Pat Hanrahan chosen
    Pat Hanrahan is a computer graphics pioneer, Stanford professor, and Turing Award–winning researcher best known for co-founding Tableau and his influential work on rendering and visualization.
  • B. Daniel P. Hanley
    Daniel P. Hanley is an American film editor best known for his long-time collaboration with director Ron Howard on numerous major Hollywood films.
  • C. Donald J. Harris
    Donald J. Harris is a Jamaican-American economist and professor emeritus at Stanford University, known for his work in economic theory and development economics.
  • D. Ernest F. Coe
    Ernest F. Coe was an American landscape architect and conservationist best known as a leading advocate for the creation and protection of Everglades National Park.
  • E. Ronald Lippitt
    Ronald Lippitt was an American social psychologist known for his work on group dynamics, leadership styles, and planned change, building on the foundational theories of Kurt Lewin.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3a253c81909df7dc0422ff7989 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562821c3c81909805cb877288405b completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:19 p.m.