Triple

T22068776
Position Surface form Disambiguated ID Type / Status
Subject John Tortorella E545349 entity
Predicate familyName P18 FINISHED
Object 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: Tortorella | Statement: [John Tortorella, familyName, Tortorella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tortorella
Context triple: [John Tortorella, familyName, Tortorella]
  • A. Tortorella chosen
    Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
  • B. Facciolella
    Facciolella is a genus of deep-sea eels known for their elongated bodies and occurrence in oceanic waters worldwide.
  • C. Pozzarello
    Pozzarello is a coastal locality and seaside area within the municipality of Monte Argentario in Tuscany, Italy, known for its beach and tourist facilities.
  • D. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • E. Cicciano
    Cicciano is a small town and comune in the Metropolitan City of Naples in Italy’s Campania region.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12885fe04819092cdde142f91e147 completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.