Triple

T22197005
Position Surface form Disambiguated ID Type / Status
Subject Lou Duva E548574 entity
Predicate trained P3665 FINISHED
Object Vinny Pazienza 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: Vinny Pazienza | Statement: [Lou Duva, trained, Vinny Pazienza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vinny Pazienza
Context triple: [Lou Duva, trained, Vinny Pazienza]
  • A. Vinny Pazienza chosen
    Vinny Pazienza is an American former professional boxer known for his remarkable comeback to the ring after suffering a broken neck in a car accident.
  • B. Johnny Spampinato
    Johnny Spampinato is an American guitarist best known for his work with the rock band NRBQ and for replacing his brother Joey Spampinato in the group.
  • C. Vinnie Lopez
    Vinnie Lopez is an American drummer best known as an early member of Bruce Springsteen’s E Street Band.
  • D. Pete Nappi
    Pete Nappi is an American record producer and songwriter known for his work with contemporary pop and alternative artists.
  • E. Corky Romano
    Corky Romano is a 2001 slapstick crime-comedy film about an inept veterinarian who goes undercover in the FBI to help his mob family.
  • 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.