Triple

T22196967
Position Surface form Disambiguated ID Type / Status
Subject Lou Duva E548574 entity
Predicate name P16 FINISHED
Object Lou Duva 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: Lou Duva | Statement: [Lou Duva, name, Lou Duva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lou Duva
Context triple: [Lou Duva, name, Lou Duva]
  • A. Lou Duva chosen
    Lou Duva was a renowned American boxing trainer and manager known for guiding multiple world champions and being inducted into the International Boxing Hall of Fame.
  • B. Don Peterman
    Don Peterman was an American cinematographer known for his work on major Hollywood films across several decades, including comedies, dramas, and visual-effects-heavy productions.
  • C. Angelo Dundee
    Angelo Dundee was a legendary American boxing trainer best known for working with champions like Muhammad Ali and Sugar Ray Leonard.
  • D. Cus D'Amato
    Cus D'Amato was a legendary American boxing trainer and manager known for developing champions like Mike Tyson and Floyd Patterson and for his innovative peek-a-boo fighting style.
  • E. Harold Gleason
    Harold Gleason was an American organist, musicologist, and influential pedagogue best known for his widely used organ method and contributions to organ literature and education.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae7c72081909b7817d66391bef4 completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.