Triple

T4946471
Position Surface form Disambiguated ID Type / Status
Subject Yann Martel E111061 entity
Predicate father P120 FINISHED
Object Emile Martel E483250 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: Emile Martel | Statement: [Yann Martel, father, Emile Martel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emile Martel
Context triple: [Yann Martel, father, Emile Martel]
  • A. Emile Martel chosen
    Emile Martel is a Canadian poet, translator, and diplomat known for his contributions to French-language literature.
  • B. Michel Auclair
    Michel Auclair was a French actor known for his work in mid-20th-century European and Hollywood films, often portraying suave or sophisticated characters.
  • 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. 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.
  • E. Pierre Pilote
    Pierre Pilote was a Hall of Fame Canadian defenceman best known as a longtime Chicago Black Hawks star and one of the NHL’s dominant blueliners of the 1960s.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70abf8dc819090269d0e1ce9f871 completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be89eefa5c8190871debbb8fe6dabe completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:31 p.m.