Triple

T20469012
Position Surface form Disambiguated ID Type / Status
Subject Frank Murphy E502134 entity
Predicate protagonistOf P9202 FINISHED
Object Blue Thunder 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: Blue Thunder | Statement: [Frank Murphy, protagonistOf, Blue Thunder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Thunder
Context triple: [Frank Murphy, protagonistOf, Blue Thunder]
  • A. Blue Thunder chosen
    Blue Thunder is a 1983 action-thriller film centered on a high-tech military helicopter used for urban surveillance and combat.
  • B. Night of Thunder
    Night of Thunder is an Irish-bred Thoroughbred racehorse best known for winning the 2014 2,000 Guineas at Newmarket.
  • C. Night of Thunder
    Night of Thunder is a thriller novel by Stephen Hunter featuring ex-Marine sniper Bob Lee Swagger as he investigates a deadly conspiracy in the American South.
  • D. Blue Lightning
    Blue Lightning is an arcade-style combat flight simulator video game best known as one of the flagship titles for Atari's Lynx handheld console.
  • E. Flight of the Intruder
    Flight of the Intruder is a 1991 American war film about U.S. Navy A-6 Intruder pilots during the Vietnam War, adapted from Stephen Coonts’ novel of the same name.
  • 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_69e6995f753081909bbe03f7c251d9c1 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.