Triple

T22093640
Position Surface form Disambiguated ID Type / Status
Subject AVP: Requiem E545968 entity
Predicate stars P1956 FINISHED
Object Steven Pasquale 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: Steven Pasquale | Statement: [AVP: Requiem, stars, Steven Pasquale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Pasquale
Context triple: [AVP: Requiem, stars, Steven Pasquale]
  • A. Steven Pasquale chosen
    Steven Pasquale is an American actor known for his work in television, film, and theater, including prominent roles in series like "Rescue Me" and various acclaimed stage productions.
  • B. Luke Pasqualino
    Luke Pasqualino is a British actor best known for his roles in the TV series "Skins" and various science fiction and drama productions.
  • C. Joe Pasquale
    Joe Pasquale is a British comedian and television personality known for his high-pitched voice, stand-up comedy, and appearances on various UK entertainment shows.
  • D. Phil Leotardo
    Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
  • E. Joseph Lonardo
    Joseph Lonardo was an early 20th-century Italian-American mobster who led Cleveland’s dominant bootlegging and organized crime operations during the Prohibition era.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.