Triple

T18517695
Position Surface form Disambiguated ID Type / Status
Subject Gabriel Lalemant E452507 entity
Predicate familyName P18 FINISHED
Object Lalemant
Lalemant is a French surname most notably associated with Gabriel Lalemant, a 17th-century Jesuit missionary and martyr in New France.
E1333550 NE FINISHED

How this triple was built (4 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: Lalemant | Statement: [Gabriel Lalemant, familyName, Lalemant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalemant
Context triple: [Gabriel Lalemant, familyName, Lalemant]
  • A. Tanguay
    Tanguay is a French-Canadian surname notably associated with Thérèse Tanguay Dion, the mother of singer Céline Dion.
  • B. Neguac
    Neguac is a small coastal village in northeastern New Brunswick, Canada, known for its Acadian heritage and fishing industry.
  • C. Shawinigan
    Shawinigan is a city in the Mauricie region of Quebec, Canada, known for its industrial history along the Saint-Maurice River and its role as a regional economic and cultural center.
  • D. Bellechasse
    Bellechasse is a provincial electoral district in Quebec, Canada, represented in the National Assembly.
  • E. Le Flon
    Le Flon is a small Swiss municipality located in the canton of Fribourg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lalemant
Triple: [Gabriel Lalemant, familyName, Lalemant]
Generated description
Lalemant is a French surname most notably associated with Gabriel Lalemant, a 17th-century Jesuit missionary and martyr in New France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lalemant
Target entity description: Lalemant is a French surname most notably associated with Gabriel Lalemant, a 17th-century Jesuit missionary and martyr in New France.
  • A. Tanguay
    Tanguay is a French-Canadian surname notably associated with Thérèse Tanguay Dion, the mother of singer Céline Dion.
  • B. Neguac
    Neguac is a small coastal village in northeastern New Brunswick, Canada, known for its Acadian heritage and fishing industry.
  • C. Shawinigan
    Shawinigan is a city in the Mauricie region of Quebec, Canada, known for its industrial history along the Saint-Maurice River and its role as a regional economic and cultural center.
  • D. Bellechasse
    Bellechasse is a provincial electoral district in Quebec, Canada, represented in the National Assembly.
  • E. Le Flon
    Le Flon is a small Swiss municipality located in the canton of Fribourg.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a050371a00081908cc8745885705b16 completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a05051c972c81909518b1cd85aa820b completed May 13, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_6a05056d181881909b803a9c3efc58ba completed May 13, 2026, 11:12 p.m.
Created at: April 10, 2026, 11:36 a.m.