Triple

T9518527
Position Surface form Disambiguated ID Type / Status
Subject Michel Auclair E229585 entity
Predicate name P16 FINISHED
Object Michel Auclair E229585 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: Michel Auclair | Statement: [Michel Auclair, name, Michel Auclair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Auclair
Context triple: [Michel Auclair, name, Michel Auclair]
  • A. Michel Auclair chosen
    Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
  • B. Marcel Desautels
    Marcel Desautels was a Canadian lawyer, businessman, and philanthropist best known for his major contributions to higher education and business schools in Canada.
  • C. André Morisset
    André Morisset was the son of Mirra Alfassa (known as The Mother), the spiritual collaborator of Sri Aurobindo and co-founder of the Sri Aurobindo Ashram in Pondicherry, India.
  • D. André Thibault
    André Thibault is a notable individual who bears the surname Thibault and has achieved sufficient recognition to be specifically cited as a prominent bearer of the name.
  • E. Jacques Poirrier
    Jacques Poirrier was an architect involved in the postwar urban design and reconstruction of the city center of Le Havre, France.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1820ed0c88190a91652965077755a completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:59 p.m.