Triple

T17739854
Position Surface form Disambiguated ID Type / Status
Subject John Agar E442822 entity
Predicate coStarredWith P14987 FINISHED
Object John Wayne 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: John Wayne | Statement: [John Agar, coStarredWith, John Wayne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Wayne
Context triple: [John Agar, coStarredWith, John Wayne]
  • A. John Wayne chosen
    John Wayne was an iconic American film actor best known for his roles in Westerns and war movies, symbolizing rugged individualism and traditional masculinity in mid-20th-century cinema.
  • B. John Wayne
    John Wayne is a fictional junior tennis prodigy and student at Enfield Tennis Academy in David Foster Wallace’s novel "Infinite Jest."
  • C. Joel McCrea
    Joel McCrea was an American film actor best known for his leading roles in classic Hollywood Westerns and comedies from the 1930s through the 1950s.
  • D. Roy Rogers
    Roy Rogers was a popular American singer and actor known as the “King of the Cowboys,” who starred in numerous Western films, radio shows, and television programs in the mid-20th century.
  • E. Randolph Scott
    Randolph Scott was a prominent American film actor best known for his roles in Westerns during the 1930s–1950s.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47acc2610819099451b02bb51891f completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.