Triple

T17924315
Position Surface form Disambiguated ID Type / Status
Subject Tim Horton E448152 entity
Predicate coFounded P104 FINISHED
Object Tim Hortons NE NERFINISHED

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: Tim Hortons | Statement: [Tim Horton, coFounded, Tim Hortons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Hortons
Context triple: [Tim Horton, coFounded, Tim Hortons]
  • A. Tim Hortons chosen
    Tim Hortons is a Canadian multinational fast-food restaurant chain best known for its coffee, doughnuts, and baked goods.
  • B. Tim Horton
    Tim Horton was a Canadian professional ice hockey defenceman and co-founder of the Tim Hortons coffee and doughnut restaurant chain.
  • C. Honest Ed
    Honest Ed was the flamboyant Toronto businessman and philanthropist best known as the founder of the iconic discount store Honest Ed’s.
  • D. Danny Saunders
    Danny Saunders is a brilliant Hasidic Jewish teenager whose complex relationship with his father and best friend explores faith, identity, and tradition in Chaim Potok’s novel "The Chosen."
  • E. Starbuck
    Starbuck is the morally conscientious first mate of the whaling ship Pequod in Herman Melville’s novel "Moby-Dick," serving as a cautious and ethical counterpoint to Captain Ahab’s obsessive quest.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.