Triple

T2908632
Position Surface form Disambiguated ID Type / Status
Subject Rocky IV E63627 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: [Rocky IV, cinematographyBy, Bill Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Butler
Context triple: [Rocky IV, 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. Max Cullen
    Max Cullen is an Australian character actor known for his extensive work in film, television, and theatre over several decades.
  • D. Don Beyer
    Don Beyer is an American Democratic politician and former Lieutenant Governor of Virginia who serves in the U.S. House of Representatives.
  • E. Peter Butler
    Peter Butler is an English football manager and former player known for coaching various national and club teams, including the Liberia national football team.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d329c88190b6fcaef0be1799eb completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0865c719c8190aacafe236b02c844 completed March 10, 2026, 9 p.m.
Created at: March 6, 2026, 10:11 p.m.