Triple
T22051981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demain tout commence |
E544906
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Clémence Poésy |
—
|
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: Clémence Poésy | Statement: [Demain tout commence, starring, Clémence Poésy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clémence Poésy Context triple: [Demain tout commence, starring, Clémence Poésy]
-
A.
Clémence Poésy
chosen
Clémence Poésy is a French actress and model known for her roles in films such as the Harry Potter series, In Bruges, and various French and international productions.
-
B.
Ludivine Sagnier
Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
-
C.
Claire Thibout
Claire Thibout is a former French accountant whose testimony about secret cash payments to politicians played a central role in the high-profile Bettencourt affair.
-
D.
Elodie Bouchez
Élodie Bouchez is a French actress acclaimed for her roles in films like "The Dreamlife of Angels" and the TV series "Alias."
-
E.
Bérénice Marlohe
Bérénice Marlohe is a French actress best known internationally for her role as Sévérine in the James Bond film "Skyfall."
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.