Triple
T16332198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | René Auberjonois |
E396581
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Auberjonois |
E396581
|
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: Auberjonois | Statement: [René Auberjonois, familyName, Auberjonois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auberjonois Context triple: [René Auberjonois, familyName, Auberjonois]
-
A.
Auberjonois
chosen
Auberjonois is a surname most prominently associated with René Auberjonois, an American actor known for roles in film, television, and voice work.
-
B.
Verdunois
Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
-
C.
Creillois
Creillois is the French term for inhabitants of the town of Creil in northern France.
-
D.
Arroux
Arroux is a river in central France that flows through the Burgundy region before joining the Loire.
-
E.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e0b1388190824b286e8452fb32 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00457324948190b803b715cea8b86d |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:07 a.m.