Triple

T8160475
Position Surface form Disambiguated ID Type / Status
Subject U.S. Hockey Hall of Fame E190563 entity
Predicate notableInductee P7102 FINISHED
Object Cammi Granato E35930 NE FINISHED

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: Cammi Granato | Statement: [U.S. Hockey Hall of Fame, notableInductee, Cammi Granato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cammi Granato
Context triple: [U.S. Hockey Hall of Fame, notableInductee, Cammi Granato]
  • A. Cammi Granato chosen
    Cammi Granato is a pioneering American ice hockey player and Olympic gold medalist who became one of the first women inducted into the Hockey Hall of Fame.
  • B. Gianna Fregonara
    Gianna Fregonara is an Italian journalist known for her work in national media and her marriage to politician Enrico Letta.
  • C. Samantha Boscarino
    Samantha Boscarino is an American actress best known for her roles in teen-oriented television series and films, including a starring role on Nickelodeon’s "How to Rock."
  • D. Gina Girolamo
    Gina Girolamo is a television producer best known for her executive production work on the post-apocalyptic drama series "The 100."
  • E. Angelica Galante
    Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf2c22f0819085c686c005f49486 completed April 1, 2026, 6:46 a.m.
Created at: March 30, 2026, 5:38 p.m.