Triple
T8333161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Vanier |
E195118
|
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: [Jean Vanier, familyName, Vanier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanier Context triple: [Jean 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.
Laurier—Sainte-Marie
Laurier—Sainte-Marie is a federal electoral district in Montreal, Quebec, represented in the House of Commons of Canada.
-
D.
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.
-
E.
Desmarais
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fbce4048190838b5bca8e7b219c |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95d19178819090815692e847c4e0 |
completed | April 1, 2026, 10:01 p.m. |
Created at: March 30, 2026, 5:57 p.m.