Triple

T20887506
Position Surface form Disambiguated ID Type / Status
Subject NHL coach of the year award E514323 entity
Predicate hasRecipient P108 FINISHED
Object John Tortorella 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: John Tortorella | Statement: [NHL coach of the year award, hasRecipient, John Tortorella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tortorella
Context triple: [NHL coach of the year award, hasRecipient, John Tortorella]
  • A. John Tortorella chosen
    John Tortorella is a veteran NHL coach known for his demanding, defense-first style, fiery personality, and a Stanley Cup championship with the Tampa Bay Lightning.
  • B. Vic DiCara
    Vic DiCara is an American hardcore punk musician and guitarist best known for his influential work in bands like Inside Out, Beyond, and 108.
  • C. Tony Amonte
    Tony Amonte is a former American professional ice hockey right winger best known for his NHL career with teams like the Chicago Blackhawks and his scoring prowess in the 1990s and early 2000s.
  • D. Mike Piscitelli
    Mike Piscitelli is a filmmaker and photographer known for his music videos, commercials, and visual collaborations with various artists.
  • E. Mike Larocca
    Mike Larocca is a film producer known for his work on acclaimed projects including the multiverse-themed movie "Everything Everywhere All at Once."
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d05acf848190a2bbbf33377f23d3 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:46 p.m.