Triple

T18072658
Position Surface form Disambiguated ID Type / Status
Subject Royal Dano E432468 entity
Predicate notableWork P4 FINISHED
Object Johnny Guitar 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: Johnny Guitar | Statement: [Royal Dano, notableWork, Johnny Guitar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johnny Guitar
Context triple: [Royal Dano, notableWork, Johnny Guitar]
  • A. Johnny Guitar chosen
    Johnny Guitar is a 1954 cult-classic Western film, noted for its unconventional style, strong female lead, and subversive take on genre conventions.
  • B. Rio Lobo
    Rio Lobo is a 1970 Western film directed by Howard Hawks and starring John Wayne, following a Union officer’s post–Civil War quest for justice in a Texas border town.
  • C. The Gunfighter
    The Gunfighter is a 1950 American Western film starring Gregory Peck as an aging gunslinger trying to escape his violent past.
  • D. The Gunfighter
    The Gunfighter is a comedic short film that parodies classic Westerns by featuring a self-aware narrator who disrupts the lives of saloon patrons.
  • E. Gilda
    Gilda is a classic 1946 American film noir starring Rita Hayworth in one of her most iconic roles.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.