Triple
T14330044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | César Award for Best Supporting Actress |
E355320
|
entity |
| Predicate | hasNotableRecipient |
P108
|
FINISHED |
| Object | Fanny Ardant |
E325084
|
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: Fanny Ardant | Statement: [César Award for Best Supporting Actress, hasNotableRecipient, Fanny Ardant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fanny Ardant Context triple: [César Award for Best Supporting Actress, hasNotableRecipient, Fanny Ardant]
-
A.
Fanny Ardant
chosen
Fanny Ardant is a renowned French actress known for her sophisticated screen presence and acclaimed performances in European cinema and theater.
-
B.
Marylène Ferrand
Marylène Ferrand is a French landscape architect known for her role in designing Paris’s Parc de Bercy.
-
C.
Béatrice Dalle
Béatrice Dalle is a French actress known for her intense, unconventional screen presence and breakout role in the 1986 film "Betty Blue."
-
D.
Carole Bouquet
Carole Bouquet is a French actress known for her roles in European art cinema and as a Bond girl in the James Bond film "For Your Eyes Only."
-
E.
Marina Foïs
Marina Foïs is a French actress known for her versatile performances in film, television, and theater, and for being a prominent figure in contemporary French cinema.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c1def0081908f03cda8e84d20c0 |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d7c397c81908dab10dd8d7aa367 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:13 a.m.