Triple
T5649834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michele |
E124474
|
entity |
| Predicate | hasFamousBearer |
P458
|
FINISHED |
| Object | Michele Mouton |
E458295
|
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: Michele Mouton | Statement: [Michele, hasFamousBearer, Michele Mouton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michele Mouton Context triple: [Michele, hasFamousBearer, Michele Mouton]
-
A.
Michele Mouton
chosen
Michele Mouton is a pioneering French rally driver best known as the first woman to win a World Rally Championship event and as a leading competitor in the early 1980s Group B era.
-
B.
Charles LeMaire
Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
-
C.
Louis Dombrowski
Louis Dombrowski is an individual notable enough to be recognized as a prominent bearer of the surname Dombrowski.
-
D.
Joseph Mazilier
Joseph Mazilier was a 19th-century French ballet dancer, choreographer, and ballet master known for creating several major Romantic ballets.
-
E.
Michel Macary
Michel Macary is a French architect best known for co-designing major public venues, including the iconic Stade de France in Paris.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d2ed648190a5152c8668cbda02 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07db3f0448190bfcb66f5af5dbf99 |
completed | March 22, 2026, 11:39 p.m. |
Created at: March 22, 2026, 3:42 p.m.