Triple
T3049376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coperni |
E83529
|
entity |
| Predicate | creativeDirection |
P28525
|
FINISHED |
| Object | Sébastien Meyer |
E325679
|
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 Meyer | Statement: [Coperni, creativeDirection, Sébastien Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sébastien Meyer Context triple: [Coperni, creativeDirection, Sébastien Meyer]
-
A.
Arnaud Vaillant
chosen
Arnaud Vaillant is a French fashion designer and co-founder of the innovative Paris-based label Coperni, known for its tech-inspired, sculptural womenswear.
-
B.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
C.
Laurent Lomet
Laurent Lomet was a mountaineer known for participating in the first recorded ascent of Monte Perdido in the Pyrenees.
-
D.
Mathieu Klein
Mathieu Klein is a French politician known for serving as the mayor of the city of Nancy.
-
E.
Jean-Philippe Lauer
Jean-Philippe Lauer was a French archaeologist best known for his decades-long work restoring and studying the Step Pyramid complex of Djoser at Saqqara in Egypt.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9e13f16c81909e11ed1444c71151 |
completed | March 8, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ded6588819093abd0c0c6158579 |
completed | March 12, 2026, 9:57 a.m. |
Created at: March 8, 2026, 3:01 p.m.