Triple

T9434891
Position Surface form Disambiguated ID Type / Status
Subject Thomas J. White Stadium E227477 entity
Predicate namedAfter P63 FINISHED
Object Thomas J. White E268437 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: Thomas J. White | Statement: [Thomas J. White Stadium, namedAfter, Thomas J. White]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas J. White
Context triple: [Thomas J. White Stadium, namedAfter, Thomas J. White]
  • A. Thomas J. White chosen
    Thomas J. White was an American philanthropist and businessman best known for bankrolling and co-founding the global health organization Partners In Health.
  • B. Thomas D. White
    Thomas D. White was a United States Air Force general who served as Chief of Staff of the Air Force and played a key role in shaping post–World War II American air power.
  • C. James L. White
    James L. White was a prominent polymer scientist and engineer recognized for his pioneering contributions to polymer processing and rheology.
  • D. James H. White
    James H. White was an early American film director and producer associated with the pioneering motion picture work of the Edison Manufacturing Company.
  • E. John H. White
    John H. White is an American photojournalist renowned for his powerful documentary images of urban life and social issues, particularly in Chicago.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e64109081908222f590928bc572 completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99859b5cc81908475fde408802607 completed April 11, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:50 p.m.