Triple

T3129809
Position Surface form Disambiguated ID Type / Status
Subject Digital Bullet E65381 entity
Predicate featuresArtist P1952 FINISHED
Object Black Knights E15278 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: Black Knights | Statement: [Digital Bullet, featuresArtist, Black Knights]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Knights
Context triple: [Digital Bullet, featuresArtist, Black Knights]
  • A. Army Black Knights chosen
    The Army Black Knights are the intercollegiate athletic teams that represent the United States Military Academy at West Point in NCAA Division I sports.
  • B. Air Force Falcons
    The Air Force Falcons are the intercollegiate athletic teams that represent the United States Air Force Academy in NCAA Division I sports.
  • C. Blue Angels
    The Blue Angels are the United States Navy’s elite flight demonstration squadron, renowned for their precision aerobatic performances at air shows across the country.
  • D. Warhawks
    The Warhawks are the athletic teams representing the University of Louisiana at Monroe in NCAA collegiate sports.
  • E. Air Force Thunderbirds
    The Air Force Thunderbirds are the United States Air Force’s premier aerial demonstration squadron, renowned for their precision flying and public airshow performances.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada549aaa881908dcf92d20fa6f238 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7f9e288190af5f2b2aa6ff63b3 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.