Triple
T10398549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François-Xavier Garneau |
E245083
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Garneau |
E804915
|
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: Garneau | Statement: [François-Xavier Garneau, familyName, Garneau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garneau Context triple: [François-Xavier Garneau, familyName, Garneau]
-
A.
Garneau
chosen
Garneau is a French-Canadian surname notably borne by figures such as astronaut and politician Marc Garneau.
-
B.
Trottier
Trottier is a surname most prominently associated with Bryan Trottier, a Hall of Fame Canadian-American ice hockey player and multiple Stanley Cup champion.
-
C.
Aviron Bayonnais
Aviron Bayonnais is a French professional rugby union club based in Bayonne, known for its Basque identity and participation in the country’s top rugby competitions.
-
D.
Sorel
Sorel is a French surname most notably associated with Georges Sorel, the influential early 20th-century philosopher and theorist of revolutionary syndicalism.
-
E.
Sorel
Sorel is a city in southwestern Quebec, Canada, known historically as an important St. Lawrence River port and industrial center.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9d1f2408190beaa8197641c66b4 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbc759a08190be677bf5458af0c8 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:07 p.m.