Triple

T9979498
Position Surface form Disambiguated ID Type / Status
Subject Thérèse Vanier E196413 entity
Predicate familyName P18 FINISHED
Object Vanier E195118 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: Vanier | Statement: [Thérèse Vanier, familyName, Vanier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vanier
Context triple: [Thérèse Vanier, familyName, Vanier]
  • A. Vanier chosen
    Vanier is a surname most notably associated with Jean Vanier, the Canadian philosopher and humanitarian who founded the L'Arche communities for people with intellectual disabilities.
  • B. Desautels
    Desautels is a French-origin surname borne by various notable individuals, including Canadian businessman and philanthropist Marcel Desautels.
  • C. Isabelle Vanier
    Isabelle Vanier is a notable individual associated with the Vanier name, recognized as a distinguished bearer of this surname.
  • D. Laurier—Sainte-Marie
    Laurier—Sainte-Marie is a federal electoral district in Montreal, Quebec, represented in the House of Commons of Canada.
  • E. Schulich
    Schulich is a prominent Canadian surname most widely associated with businessman and philanthropist Seymour Schulich, whose major donations have named several educational institutions and programs.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb850bde48190a06b77757f8c081b completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257df420881909edac01b4e331c1e completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:49 p.m.