Triple

T4924680
Position Surface form Disambiguated ID Type / Status
Subject Mr. Hockey E110548 entity
Predicate nickname P55 FINISHED
Object Mr. Hockey E110548 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: Mr. Hockey | Statement: [Mr. Hockey, nickname, Mr. Hockey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Hockey
Context triple: [Mr. Hockey, nickname, Mr. Hockey]
  • A. Mr. Hockey chosen
    Mr. Hockey is the legendary Canadian ice hockey player Gordie Howe, renowned for his long NHL career, all-around skill, and status as one of the greatest players in the sport’s history.
  • B. Leetch
    Leetch is the surname of Brian Leetch, a Hall of Fame American ice hockey defenseman best known for his stellar NHL career with the New York Rangers.
  • C. Lemieux
    Lemieux is a former village in eastern Ontario, Canada, known for being abandoned and relocated in the 1990s due to severe landslide risk along the South Nation River.
  • D. Jim Norris
    Jim Norris is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
  • E. Bobby Clarke
    Bobby Clarke is a Hall of Fame Canadian ice hockey center renowned for captaining the Philadelphia Flyers to two Stanley Cup championships in the 1970s and for his gritty, two-way play.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffeb86c8190a2fabe1ae1d54118 completed March 20, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a6e1648190921487e3d81441b3 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:30 p.m.