Triple

T17739857
Position Surface form Disambiguated ID Type / Status
Subject John Agar E442822 entity
Predicate coStarredWith P14987 FINISHED
Object Henry Fonda 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: Henry Fonda | Statement: [John Agar, coStarredWith, Henry Fonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Fonda
Context triple: [John Agar, coStarredWith, Henry Fonda]
  • A. Henry Fonda chosen
    Henry Fonda was an acclaimed American film and stage actor known for his portrayals of principled, quietly heroic characters in classic films such as "12 Angry Men" and "On Golden Pond."
  • B. Ray Taylor
    Ray Taylor was an American film director best known for his work on action-packed serials and B-movies during the early 20th century.
  • C. Richard Widmark
    Richard Widmark was an American film and television actor renowned for his intense portrayals in film noir and Westerns, particularly during Hollywood’s mid-20th-century era.
  • D. Lew Ayres
    Lew Ayres was an American actor best known for his starring role in the anti-war film "All Quiet on the Western Front" and for his long-running portrayal of Dr. Kildare.
  • E. Edmond O'Brien
    Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
  • 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.