Triple

T18044746
Position Surface form Disambiguated ID Type / Status
Subject Secretariat E431742 entity
Predicate trainedBy P3665 FINISHED
Object Lucien Laurin 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: Lucien Laurin | Statement: [Secretariat, trainedBy, Lucien Laurin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucien Laurin
Context triple: [Secretariat, trainedBy, Lucien Laurin]
  • A. Lucien Laurin chosen
    Lucien Laurin was a Canadian Hall of Fame horse trainer best known for conditioning the legendary racehorse Secretariat to win the 1973 Triple Crown.
  • B. Gaston Langelier
    Gaston Langelier is a Canadian businessman best known for owning the Brampton Beast professional ice hockey team.
  • C. Étienne Morin
    Étienne Morin was an 18th-century French Freemason and merchant best known for helping develop and spread the high-degree Masonic system that evolved into the Scottish Rite.
  • D. Émile Bouchard
    Émile Bouchard was a legendary Canadian ice hockey defenceman and longtime Montreal Canadiens captain, renowned for his leadership, physical play, and multiple Stanley Cup championships.
  • E. 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.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff13f488190993445769551c9c2 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.