Triple
T16387315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Vouet |
E397955
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Nicolas Chaperon |
—
|
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: Nicolas Chaperon | Statement: [Simon Vouet, notableStudent, Nicolas Chaperon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Chaperon Context triple: [Simon Vouet, notableStudent, Nicolas Chaperon]
-
A.
Nicolas Chaperon
chosen
Nicolas Chaperon was a 17th-century French painter and engraver associated with the Baroque movement, known for his religious and mythological works and his connection to leading artists of his time.
-
B.
Nicolas Chaudeurge
Nicolas Chaudeurge is a film editor known for his work on feature films including the drama "Still Alice."
-
C.
Pascal Chaumeil
Pascal Chaumeil was a French film director best known internationally for his romantic comedy "Heartbreaker" and his work in contemporary French cinema.
-
D.
Nicolas Chapados
Nicolas Chapados is a Canadian entrepreneur and artificial intelligence researcher best known as a co-founder of the AI company Element AI.
-
E.
Jean-François Lepetit
Jean-François Lepetit is a French film producer known for his work on acclaimed European cinema, including the cult classic "Betty Blue."
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263e1534819081a6bf5006c611c5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 10, 2026, 5:08 a.m.