Triple

T7714242
Position Surface form Disambiguated ID Type / Status
Subject Major League E174841 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: [Major League, cinematographyBy, Bill Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Butler
Context triple: [Major League, 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. Steve Butler
    Steve Butler is a fictional character portrayed by Tommy Lee Jones in the film "Heaven & Earth."
  • C. Reg Butler
    Reg Butler was a British sculptor known for his expressive, often skeletal metal figures and his prominence in postwar European modernist sculpture.
  • D. John K. Butler
    John K. Butler was an American screenwriter best known for his work on mid-20th-century Westerns and crime films.
  • E. 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.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd3e9f88190adf42ab42c21b722 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.