Triple
T8860885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bérénice Marlohe |
E210883
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bérénice Marlohe |
E210883
|
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: Bérénice Marlohe | Statement: [Bérénice Marlohe, name, Bérénice Marlohe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bérénice Marlohe Context triple: [Bérénice Marlohe, name, Bérénice Marlohe]
-
A.
Bérénice Marlohe
chosen
Bérénice Marlohe is a French actress best known internationally for her role as Sévérine in the James Bond film "Skyfall."
-
B.
Clémence Poésy
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.
-
C.
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.
-
D.
Isabelle Carré
Isabelle Carré is a French actress known for her performances in films such as "Se souvenir des belles choses," for which she won the César Award for Best Actress.
-
E.
Eva Green
Eva Green is a French actress known for her dark, intense performances in film and television, including prominent roles in projects like "Casino Royale" and "Penny Dreadful."
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e860888190a8a8702377db949e |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab8fef348190a25e978085e8e656 |
completed | April 3, 2026, 11:59 a.m. |
Created at: March 30, 2026, 6:50 p.m.