Triple

T19443338
Position Surface form Disambiguated ID Type / Status
Subject Cornwall Royals E486406 entity
Predicate notableAlumnus P304 FINISHED
Object Dan Daoust
Dan Daoust is a retired Canadian professional ice hockey centre best known for his years with the Toronto Maple Leafs in the NHL.
 E1377281 NE FINISHED

How this triple was built (4 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: Dan Daoust | Statement: [Cornwall Royals, notableAlumnus, Dan Daoust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Daoust
Context triple: [Cornwall Royals, notableAlumnus, Dan Daoust]
  • A. Marc Thibault
    Marc Thibault is a notable individual recognized as a prominent bearer of the surname Thibault.
  • B. Charles Daoust
    Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
  • C. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • D. Sam Bouchard
    Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
  • E. Dan Bouchard
    Dan Bouchard is a former Canadian professional ice hockey goaltender best known for his NHL career with teams such as the Atlanta Flames and Quebec Nordiques.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Daoust
Triple: [Cornwall Royals, notableAlumnus, Dan Daoust]
Generated description
Dan Daoust is a retired Canadian professional ice hockey centre best known for his years with the Toronto Maple Leafs in the NHL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Daoust
Target entity description: Dan Daoust is a retired Canadian professional ice hockey centre best known for his years with the Toronto Maple Leafs in the NHL.
  • A. Marc Thibault
    Marc Thibault is a notable individual recognized as a prominent bearer of the surname Thibault.
  • B. Charles Daoust
    Charles Daoust was a 19th-century Canadian journalist, lawyer, and politician from Quebec associated with the radical liberal Parti rouge movement.
  • C. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • D. Sam Bouchard
    Sam Bouchard is a character in the film "Body Double," involved in its suspenseful, voyeuristic thriller plot.
  • E. Dan Bouchard
    Dan Bouchard is a former Canadian professional ice hockey goaltender best known for his NHL career with teams such as the Atlanta Flames and Quebec Nordiques.
  • F. None of above. chosen

Provenance (5 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63386c520819092bea5d7f259a226 completed April 20, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a073b2b006c8190a31b9a282e4d26ad completed May 15, 2026, 3:26 p.m.
NEDg Description generation batch_6a073bd8fd108190b4aa79dcdf3c2758 completed May 15, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_6a073c574c808190b2ae6df5477c27bb completed May 15, 2026, 3:31 p.m.
Created at: April 10, 2026, 1:38 p.m.