Triple
T23413516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolas-Jacques Conté |
E560141
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Conté |
—
|
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: Conté | Statement: [Nicolas-Jacques Conté, hasSurname, Conté]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conté Context triple: [Nicolas-Jacques Conté, hasSurname, Conté]
-
A.
Conté
chosen
Conté is a French surname most notably associated with Nicolas-Jacques Conté, the 18th-century inventor of the modern graphite pencil and a prominent painter and balloonist.
-
B.
Canson
Canson is a historic French paper manufacturer renowned for its high-quality fine art papers used by artists worldwide.
-
C.
Pernek
Pernek is a village and municipality located in western Slovakia within the Bratislava Region.
-
D.
Benetint
Benetint is a cult-favorite rose-tinted lip and cheek stain from Benefit Cosmetics known for its sheer, long-lasting, natural-looking flush.
-
E.
Barbizon
Barbizon is a French village on the edge of the Fontainebleau Forest, best known as the 19th-century artists’ colony that gave rise to the Barbizon School of landscape painting.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a513502881909f33a43bfd5e63a7 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:39 p.m.