Triple

T14130772
Position Surface form Disambiguated ID Type / Status
Subject Mark Hill E350158 entity
Predicate notableWork P4 FINISHED
Object WestJet E63601 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: WestJet | Statement: [Mark Hill, notableWork, WestJet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WestJet
Context triple: [Mark Hill, notableWork, WestJet]
  • A. WestJet chosen
    WestJet is a major Canadian low-cost airline known for its extensive domestic and international route network and customer-friendly service.
  • B. Air Canada
    Air Canada is the flag carrier and largest airline of Canada, operating extensive domestic and international passenger and cargo services.
  • C. WestJet Link
    WestJet Link is a Canadian regional airline brand that operates feeder flights on behalf of WestJet to connect smaller communities with the mainline network.
  • D. Air Canada Express
    Air Canada Express is a regional airline brand that operates short-haul feeder flights on behalf of Air Canada, connecting smaller communities to the mainline carrier’s network.
  • E. Canadian Airlines
    Canadian Airlines was a former major Canadian carrier that operated extensive domestic and international routes before being acquired by Air Canada in 2000.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de610aa434819096671c5aabb9134a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf10e3948190b21968bc39094a8e completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:47 p.m.