Triple

T22085545
Position Surface form Disambiguated ID Type / Status
Subject The Old Corral E545761 entity
Predicate director P255 FINISHED
Object Joseph Kane NE NERFINISHED

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: Joseph Kane | Statement: [The Old Corral, director, Joseph Kane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Kane
Context triple: [The Old Corral, director, Joseph Kane]
  • A. Joseph Kane chosen
    Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
  • B. Michael Kanin
    Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
  • C. James Kean
    James Kean is a person notable enough to be recognized as a bearer of the surname Kean, though specific widely known achievements or roles are not clearly established.
  • D. Roy McFarland
    Roy McFarland is a former English central defender best known for his key role in Derby County’s successful teams of the late 1960s and 1970s and for earning numerous caps for the England national team.
  • E. Lee Tourneau
    Lee Tourneau is a fictional character from the film "Horns," known for his involvement in the dark, supernatural events surrounding the protagonist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128ba24ac819082fc4aa274553481 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.