Triple

T20468893
Position Surface form Disambiguated ID Type / Status
Subject John Badham E502129 entity
Predicate directed P7373 FINISHED
Object American Flyers 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: American Flyers | Statement: [John Badham, directed, American Flyers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Flyers
Context triple: [John Badham, directed, American Flyers]
  • A. American Flyers chosen
    American Flyers is a 1985 sports drama film about competitive cycling, starring Kevin Costner and Rae Dawn Chong.
  • B. The Fearless Flyers
    The Fearless Flyers is a funk-focused instrumental supergroup and Vulfpeck spin-off known for its tight, virtuosic performances and minimalist, groove-driven arrangements.
  • C. The Pilots
    "The Pilots" is a painting by American artist Gari Melchers, known for his realistic style and depictions of everyday life and working people.
  • D. Aviators
    Aviators is a Minor League Baseball team based in the Las Vegas area, serving as the Triple-A affiliate of the Oakland Athletics.
  • E. Aviadores
    Aviadores is the popular nickname of Bolivian football club Jorge Wilstermann, alluding to its historic ties to aviation.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6995e71c08190911fadbc433f0f4d completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.