Triple

T20080603
Position Surface form Disambiguated ID Type / Status
Subject Snatch (TV series) E499988 entity
Predicate starring P1507 FINISHED
Object Luke Pasqualino 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: Luke Pasqualino | Statement: [Snatch (TV series), starring, Luke Pasqualino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke Pasqualino
Context triple: [Snatch (TV series), starring, Luke Pasqualino]
  • A. Luke Pasqualino chosen
    Luke Pasqualino is a British actor best known for his roles in the TV series "Skins" and various science fiction and drama productions.
  • B. Phil Leotardo
    Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
  • C. Steven Pasquale
    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.
  • D. John Marascalco
    John Marascalco is an American songwriter best known for co-writing several early rock and roll hits, including classics recorded by Little Richard.
  • E. 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.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66557c19c8190b511857490bbd423 completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 3:41 p.m.