Triple

T12616697
Position Surface form Disambiguated ID Type / Status
Subject COL E301271 entity
Predicate notablePlayer P304 FINISHED
Object Patrick Roy E21520 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: Patrick Roy | Statement: [COL, notablePlayer, Patrick Roy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Roy
Context triple: [COL, notablePlayer, Patrick Roy]
  • A. Patrick Roy chosen
    Patrick Roy is a legendary Canadian goaltender widely regarded as one of the greatest in NHL history, known for revolutionizing the butterfly style and winning multiple Stanley Cups and Conn Smythe Trophies.
  • B. Steve Potvin
    Steve Potvin is a professional ice hockey coach best known for leading the Tucson Roadrunners in the American Hockey League.
  • C. Grant Fuhr
    Grant Fuhr is a Hall of Fame Canadian goaltender renowned for backstopping the Edmonton Oilers dynasty to multiple Stanley Cup championships in the 1980s.
  • D. Ken Dryden
    Ken Dryden is a legendary Canadian goaltender who backstopped the Montreal Canadiens to multiple Stanley Cup championships in the 1970s before becoming an author, lawyer, and politician.
  • E. Bobby Boucher
    Bobby Boucher is the socially awkward but hard-hitting college football waterboy-turned-star linebacker portrayed by Adam Sandler in the comedy film "The Waterboy."
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686b9d088190832d1f244e7aa924 completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:12 p.m.