Triple

T5043060
Position Surface form Disambiguated ID Type / Status
Subject King of the Gypsies E113591 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: [King of the Gypsies, cinematographyBy, Bill Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Butler
Context triple: [King of the Gypsies, 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. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • C. Andrew P. Butler
    Andrew P. Butler was a pro-slavery U.S. senator from South Carolina whose strong support for the Kansas-Nebraska Act and slavery made him a central and controversial figure in the events leading up to the Bleeding Kansas crisis.
  • D. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • E. Dan Hughes
    Dan Hughes is an American basketball coach best known for leading the WNBA’s Seattle Storm to a championship and for his long, successful career coaching multiple WNBA franchises.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73df8f7481909a8b86c4ae69aab9 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea47c5f808190821d7f708003a07d completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:37 p.m.