Triple
T22211181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Thibault |
E548949
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jean Thibault |
—
|
NE NERFINISHED |
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: Jean Thibault | Statement: [Jean Thibault, name, Jean Thibault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jean Thibault Context triple: [Jean Thibault, name, Jean Thibault]
-
A.
Jean Thibault
chosen
Jean Thibault is an individual notable enough to be recognized as a prominent bearer of the surname Thibault.
-
B.
Guillaume Laforge
Guillaume Laforge is a French software engineer best known as the longtime project lead and advocate of the Groovy programming language.
-
C.
Roger d’Astous
Roger d’Astous was a prominent 20th-century Canadian architect known for his modernist residential and institutional designs that blended bold forms with the natural landscape.
-
D.
Guillaume Bourgeois
Guillaume Bourgeois is a person notable enough to be recognized as a bearer of the surname Bourgeois.
-
E.
Francis Brière
Francis Brière is a Canadian municipal politician who serves as the mayor of The Nation Municipality in Ontario.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2bcf748190a9721f0c9ae17e70 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.