Triple
T5791128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vauban |
E128395
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sébastien |
E278395
|
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: Sébastien | Statement: [Vauban, givenName, Sébastien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sébastien Context triple: [Vauban, givenName, Sébastien]
-
A.
Sébastien
chosen
Sébastien is the French form of the given name Sebastian, commonly used in French-speaking countries.
-
B.
Sébastien David
Sébastien David is a French local politician serving as the mayor of the commune of Saint-Affrique in southern France.
-
C.
Clément
Clément is a French given name, equivalent to Clement in English, commonly used for males.
-
D.
Virage Chatillon
Virage Chatillon is a French youth football club known for being one of the early teams in Thierry Henry’s development.
-
E.
Cédric
Cédric is a French given name commonly used for males, notably borne by mathematician Cédric Villani.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a56c73c81908a1c72c86e474b54 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09820f5c08190811e848eb44ce5b9 |
completed | March 23, 2026, 1:32 a.m. |
Created at: March 22, 2026, 3:51 p.m.