Triple

T22085568
Position Surface form Disambiguated ID Type / Status
Subject The Old Corral E545761 entity
Predicate screenplayBy P15305 FINISHED
Object Dorrell McGowan 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: Dorrell McGowan | Statement: [The Old Corral, screenplayBy, Dorrell McGowan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorrell McGowan
Context triple: [The Old Corral, screenplayBy, Dorrell McGowan]
  • A. Dorrell McGowan chosen
    Dorrell McGowan was an American screenwriter known for his work on early Western films, including projects with prominent cowboy stars.
  • B. Jimmy McGrory
    Jimmy McGrory was a legendary Scottish footballer and prolific goal scorer for Celtic FC, widely regarded as one of the greatest forwards in the history of British football.
  • C. Jack McGowan
    Jack McGowan is a cinematographer known for his work on the film "Deranged."
  • D. Jack McGowan
    Jack McGowan was a screenwriter known for his work on classic Hollywood films, including the 1939 musical "Babes in Arms."
  • E. Glen Dawson
    Glen Dawson was an American mountaineer and rock climber known for pioneering ascents in the Sierra Nevada during the early 20th century.
  • 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.