Triple
T21809643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Polge |
E538437
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Olivier Polge |
—
|
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: Olivier Polge | Statement: [Olivier Polge, name, Olivier Polge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivier Polge Context triple: [Olivier Polge, name, Olivier Polge]
-
A.
Olivier Polge
chosen
Olivier Polge is a renowned French perfumer, known as the in-house nose for Chanel and creator of numerous acclaimed fragrances.
-
B.
Philippe Sureau
Philippe Sureau is a Canadian businessman best known as a co-founder of the leisure airline Air Transat.
-
C.
Raoul Meyer
Raoul Meyer is a Swiss race car driver and businessman best known for his high-profile marriage to actress and model Brigitte Nielsen.
-
D.
Raoul Meyer
Raoul Meyer is a French businessman best known as the former husband of socialite and reality TV personality Kim Kardashian.
-
E.
Olivier Coipel
Olivier Coipel is a French comic book artist best known for his dynamic work at Marvel Comics on titles such as Thor, House of M, and major crossover events.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc4809c8190853e2777a1f573d4 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.