Triple

T6921194
Position Surface form Disambiguated ID Type / Status
Subject Virginia Cavaliers E160187 entity
Predicate mascot P52 FINISHED
Object Cavalier E108224 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: Cavalier | Statement: [Virginia Cavaliers, mascot, Cavalier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cavalier
Context triple: [Virginia Cavaliers, mascot, Cavalier]
  • A. Cavalier chosen
    Cavalier is the costumed mascot character representing the University of Virginia’s athletic teams, typically depicted as a historical Virginia cavalryman.
  • B. Cavalier
    Cavalier is the first name of Cavalier Johnson, an American politician serving as the mayor of Milwaukee, Wisconsin.
  • C. Bassett
    Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
  • D. Philander Chase
    Philander Chase was a 19th-century American Episcopal bishop and educator best known for establishing influential frontier colleges and promoting religious education in the Midwest.
  • E. Hound
    Hound is a coastal civil parish in the Borough of Eastleigh in Hampshire, England, encompassing villages such as Netley and Butlocks Heath.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fb8ac48190b50bbc47fad8288f completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c751345edc8190ab0f34120a42571e completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.