Triple
T7790297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Desmarais |
E187358
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Desmarais |
E187358
|
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: Desmarais | Statement: [Paul Desmarais, familyName, Desmarais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desmarais Context triple: [Paul Desmarais, familyName, Desmarais]
-
A.
Desmarais
chosen
Desmarais is a French surname, often associated with notable families and individuals in business, politics, and the arts.
-
B.
Nézet-Séguin
Nézet-Séguin is the hyphenated family name of Canadian conductor Yannick Nézet-Séguin, renowned for his leadership of major orchestras and opera companies.
-
C.
Valcartier
Valcartier is a locality in Quebec, Canada, best known for its large Canadian Forces military base and nearby recreational facilities.
-
D.
Duplessis
Duplessis is a surname of French origin borne by various notable individuals in politics, sports, and the arts.
-
E.
Vallière
Vallière is a river in eastern France that flows through the town of Lons-le-Saunier in the Jura department.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7ea13f08190a60c5f1863bce816 |
completed | March 30, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69caf631988481908373498aaf1ea0e8 |
completed | March 30, 2026, 10:16 p.m. |
Created at: March 30, 2026, 4:25 p.m.