Triple

T18517723
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Lalemant E452507 entity
Predicate hasRelative P367 FINISHED
Object Jerome Lalemant 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: Jerome Lalemant | Statement: [Gabriel Lalemant, hasRelative, Jerome Lalemant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jerome Lalemant
Context triple: [Gabriel Lalemant, hasRelative, Jerome Lalemant]
  • A. Jerome Lalemant chosen
    Jérôme Lalemant was a 17th-century French Jesuit missionary and key organizer of missions in New France, particularly among Indigenous peoples in what is now Canada.
  • B. Gerald Baillergeau
    Gerald Baillergeau is an American R&B and hip-hop record producer known for his work with artists such as Tyrese.
  • C. Francis Brière
    Francis Brière is a Canadian municipal politician who serves as the mayor of The Nation Municipality in Ontario.
  • D. Pierre LeBrun
    Pierre LeBrun was an American architect of the early 20th century known for designing prominent skyscrapers and commercial buildings, particularly in New York City.
  • E. Pierre Orefice
    Pierre Orefice is a French designer and cultural project director best known for co-creating the fantastical mechanical art attraction Les Machines de l’Île in Nantes.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338b2cd0819095db59f6bfc70814 completed April 19, 2026, 7:56 p.m.
Created at: April 10, 2026, 11:36 a.m.