Triple
T12989253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parlez-moi de la pluie |
E321855
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Agnès Jaoui |
E682675
|
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: Agnès Jaoui | Statement: [Parlez-moi de la pluie, writer, Agnès Jaoui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agnès Jaoui Context triple: [Parlez-moi de la pluie, writer, Agnès Jaoui]
-
A.
Agnès Jaoui
chosen
Agnès Jaoui is a French actress, screenwriter, and director known for her sharp, character-driven comedies and collaborations with Jean-Pierre Bacri.
-
B.
Marylène Ferrand
Marylène Ferrand is a French landscape architect known for her role in designing Paris’s Parc de Bercy.
-
C.
Olivier Nakache
Olivier Nakache is a French film director and screenwriter best known for co-directing the internationally acclaimed comedy-drama "The Intouchables."
-
D.
Karine Franclet
Karine Franclet is a French politician who serves as the mayor of Aubervilliers, a suburb of Paris.
-
E.
Michèle Ray-Gavras
Michèle Ray-Gavras is a French journalist, filmmaker, and producer known for her documentary work and for collaborating on politically engaged 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e75b9f88190a54372c2a1223a4e |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f95c548190a6fc2c1ea98246c3 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 8:43 p.m.