Triple

T10363880
Position Surface form Disambiguated ID Type / Status
Subject Micky Ward E244200 entity
Predicate wonAgainst P34090 FINISHED
Object Arturo Gatti E858085 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: Arturo Gatti | Statement: [Micky Ward, wonAgainst, Arturo Gatti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arturo Gatti
Context triple: [Micky Ward, wonAgainst, Arturo Gatti]
  • A. Arturo Gatti chosen
    Arturo Gatti was a Canadian-Italian professional boxer famed for his all-action style, dramatic comebacks, and a legendary trilogy of bouts with Micky Ward.
  • B. 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.
  • C. Armand Marciano
    Armand Marciano is a fashion entrepreneur best known as a co-founder of the clothing brand Guess.
  • D. Primo Carnera
    Primo Carnera was an Italian heavyweight boxer and former world champion known for his enormous size, formidable punching power, and controversial career during the 1930s.
  • E. Maurice "Bosco" Boscorelli
    Maurice "Bosco" Boscorelli is a hot-headed yet dedicated NYPD police officer and one of the central protagonists in the television drama series "Third Watch."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e963a6148190822951e72590b9df completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7953205cc8190ad7f28a7436049bc completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, noon