Triple

T17595715
Position Surface form Disambiguated ID Type / Status
Subject Running Wilde E428564 entity
Predicate executiveProducer P7225 FINISHED
Object Peter Principato 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: Peter Principato | Statement: [Running Wilde, executiveProducer, Peter Principato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Principato
Context triple: [Running Wilde, executiveProducer, Peter Principato]
  • A. Peter Principato chosen
    Peter Principato is a talent manager and television and film producer known for representing high-profile comedic actors and developing successful comedy projects.
  • B. Joe Principe
    Joe Principe is an American bassist best known as a founding member of the punk rock band Rise Against.
  • C. Peter Pizzuto
    Peter Pizzuto is a musician best known for his past role as a member of the band Acceptance.
  • D. Frank Prinzi
    Frank Prinzi is an American cinematographer and television director known for his work on numerous films and TV series, including crime dramas and independent features.
  • E. Peter DiStefano
    Peter DiStefano is an American guitarist best known as a member of the alternative rock band Porno for Pyros.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.