Triple

T13253887
Position Surface form Disambiguated ID Type / Status
Subject Marcus T. Paulk E315605 entity
Predicate notableWork P4 FINISHED
Object Red Tails E199124 NE FINISHED

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: Red Tails | Statement: [Marcus T. Paulk, notableWork, Red Tails]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Tails
Context triple: [Marcus T. Paulk, notableWork, Red Tails]
  • A. Red Tails chosen
    Red Tails is a 2012 war drama film that dramatizes the World War II exploits of the Tuskegee Airmen, the first African-American military aviators in the United States Armed Forces.
  • B. The Mighty Eighth
    The Mighty Eighth is the famed Eighth Air Force of the United States Army Air Forces, renowned for its pivotal strategic bombing campaigns over Europe during World War II.
  • C. Aviadores
    Aviadores is the popular nickname of Bolivian football club Jorge Wilstermann, alluding to its historic ties to aviation.
  • D. Dogfight
    Dogfight is a stage musical with music and lyrics by Benj Pasek and Justin Paul, adapted from the 1991 film about a Marine’s last night before deployment in 1963 San Francisco.
  • E. Flyboys
    Flyboys is a 2006 World War I aviation film about American volunteer pilots in the French air service, directed by Tony Bill and written by David S. Ward.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7517048190b4eac4e44e81ff66 completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a3d6b808190b4ae5225961de03f completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:24 p.m.