Triple

T18082264
Position Surface form Disambiguated ID Type / Status
Subject Sergeant York E432721 entity
Predicate editor P1954 FINISHED
Object William Holmes NE NERFINISHED

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: William Holmes | Statement: [Sergeant York, editor, William Holmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Holmes
Context triple: [Sergeant York, editor, William Holmes]
  • A. William Holmes chosen
    William Holmes was a film editor best known for his Academy Award-winning work on the 1941 biographical war film "Sergeant York."
  • B. William Henry Holmes
    William Henry Holmes was an American archaeologist, anthropologist, and scientific illustrator known for his influential work on Native American cultures and his leadership in major U.S. scientific institutions.
  • C. James Carroll Beckwith
    James Carroll Beckwith was an American portrait and genre painter of the late 19th and early 20th centuries, known for his refined academic style and contributions to the New York art scene.
  • D. William Boone
    William Boone is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Boone.
  • E. Gary Starkweather
    Gary Starkweather was an American engineer and inventor best known for creating the laser printer while working at Xerox.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fb42888190919fe711a281bd7c completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.