Triple

T6872387
Position Surface form Disambiguated ID Type / Status
Subject Keith Gretzky E158581 entity
Predicate employer P7 FINISHED
Object Phoenix Coyotes E55863 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: Phoenix Coyotes | Statement: [Keith Gretzky, employer, Phoenix Coyotes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phoenix Coyotes
Context triple: [Keith Gretzky, employer, Phoenix Coyotes]
  • A. Arizona Coyotes chosen
    The Arizona Coyotes are a professional ice hockey team in the National Hockey League based in the Phoenix metropolitan area.
  • B. South Dakota Coyotes
    The South Dakota Coyotes are the intercollegiate athletic teams that represent the University of South Dakota in NCAA competition.
  • C. Florida Panthers
    The Florida Panthers are a professional ice hockey team based in the Miami metropolitan area that competes in the National Hockey League (NHL).
  • D. Calgary Flames
    The Calgary Flames are a professional ice hockey team based in Calgary that competes in the National Hockey League (NHL).
  • E. Anaheim Ducks
    The Anaheim Ducks are a professional ice hockey team in the National Hockey League (NHL) based in Anaheim, California.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c73ea08190b6bb1463e7ead47b completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748c0689081908d37d1530ed0f6a0 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:22 p.m.