Triple

T9537897
Position Surface form Disambiguated ID Type / Status
Subject Marc Garneau E230066 entity
Predicate name P16 FINISHED
Object Marc Garneau E230066 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: Marc Garneau | Statement: [Marc Garneau, name, Marc Garneau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Garneau
Context triple: [Marc Garneau, name, Marc Garneau]
  • A. Marc Garneau chosen
    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.
  • B. Chris Hadfield
    Chris Hadfield is a Canadian astronaut, former commander of the International Space Station, and popular science communicator known for his spaceflight videos and public outreach.
  • C. Julie Payette
    Julie Payette is a Canadian engineer, former astronaut, and public servant who served as the 29th Governor General of Canada.
  • D. Frank De Winne
    Frank De Winne is a Belgian aerospace engineer and former Air Force pilot who became a European Space Agency astronaut and the first European commander of the International Space Station.
  • E. Christer Fuglesang
    Christer Fuglesang is a Swedish physicist and astronaut who became the first Swede in space as a mission specialist with the European Space Agency and NASA.
  • 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_69ca847b1b3081908f72bc932c17cc41 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98cfead8819089a8f47ea83500a4 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c5684308190a9cb2942f7d2f2b0 completed April 4, 2026, 5:37 p.m.
Created at: March 30, 2026, 8:01 p.m.