Triple

T2158978
Position Surface form Disambiguated ID Type / Status
Subject The Greatest E47957 entity
Predicate cinematographyBy P1953 FINISHED
Object Bill Butler E33313 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: Bill Butler | Statement: [The Greatest, cinematographyBy, Bill Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Butler
Context triple: [The Greatest, cinematographyBy, Bill Butler]
  • A. Bill Butler chosen
    Bill Butler was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s.
  • B. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • C. Mike Sullivan
    Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
  • D. John Washington Butler
    John Washington Butler was a Tennessee state legislator best known for authoring the Butler Act, the law at the center of the 1925 Scopes "Monkey" Trial over the teaching of evolution in public schools.
  • E. Bill Ferguson
    Bill Ferguson is an American Democratic politician who serves as president of the Maryland Senate, representing Baltimore in the state legislature.
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe6a412c8190ae632282650739d9 completed March 7, 2026, 5:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d962a2c8190be1e3ae48367abad completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.