Triple

T5740722
Position Surface form Disambiguated ID Type / Status
Subject Julie Payette E126607 entity
Predicate name P16 FINISHED
Object Julie Payette E126607 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: Julie Payette | Statement: [Julie Payette, name, Julie Payette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Payette
Context triple: [Julie Payette, name, Julie Payette]
  • A. Julie Payette chosen
    Julie Payette is a Canadian engineer, former astronaut, and public servant who served as the 29th Governor General of Canada.
  • B. Roberta Bondar
    Roberta Bondar is a Canadian neurologist, astronaut, and photographer who became the first Canadian woman to travel into space.
  • C. Marc Garneau
    Marc Garneau is a Canadian engineer, former astronaut, and politician who became the first Canadian in space and later served as a federal cabinet minister.
  • D. Suzy Chaffee
    Suzy Chaffee is an American former Olympic alpine skier and freestyle skiing pioneer who became widely known in the 1970s as a charismatic sports icon and advocate for Title IX and Native American causes.
  • E. Erika Leonard Mitchell
    Erika Leonard Mitchell is the British author best known by her pen name E. L. James, under which she wrote the bestselling erotic romance series "Fifty Shades of Grey."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255f302c819094f97b4defeded07 completed March 22, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097f655e881909f6944e9a9d27e6c completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:48 p.m.