Triple
T10906296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille Doncieux |
E257577
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Doncieux |
E257577
|
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: Doncieux | Statement: [Camille Doncieux, familyName, Doncieux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doncieux Context triple: [Camille Doncieux, familyName, Doncieux]
-
A.
Doncieux
chosen
Doncieux is a French surname most notably associated with Camille Doncieux, the first wife and frequent model of painter Claude Monet.
-
B.
Nantz
Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
-
C.
Rendeux
Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
-
D.
Scarphe
Scarphe is a figure from Greek mythology known primarily as the wife of Aeson, the father of the hero Jason.
-
E.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706679b48190a1f29fc64fe8a334 |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155454890819087028a72ac2be8de |
completed | April 16, 2026, 9:31 p.m. |
Created at: April 8, 2026, 9:22 p.m.