Triple

T5318834
Position Surface form Disambiguated ID Type / Status
Subject Honky Tonk Man E121620 entity
Predicate starring P1507 FINISHED
Object John McIntire E381152 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: John McIntire | Statement: [Honky Tonk Man, starring, John McIntire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John McIntire
Context triple: [Honky Tonk Man, starring, John McIntire]
  • A. John McIntire chosen
    John McIntire was an American character actor known for his distinctive deep voice and roles in Western films and television, as well as voice work in classic Disney animated features.
  • B. Jack B. Sowards
    Jack B. Sowards was an American screenwriter best known for writing the screenplay for the film Star Trek II: The Wrath of Khan.
  • C. Hal Young
    Hal Young was an early 20th-century cinematographer recognized as a pioneering figure in American film and a founding member of the American Society of Cinematographers.
  • D. John McShain
    John McShain was an American building contractor known for constructing major U.S. landmarks, including the Pentagon and significant parts of Washington, D.C.'s federal architecture.
  • E. J. T. Walsh
    J. T. Walsh was an American character actor known for his intense, often villainous roles in numerous films of the 1980s and 1990s.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855407048190bcdb97c7098cc2aa completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e69e9188190a4dd94c34657a74f completed March 23, 2026, 4:46 p.m.
Created at: March 20, 2026, 1:59 p.m.