Triple
T13700723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pericle il nero |
E328508
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Marina Foïs |
E1003896
|
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: Marina Foïs | Statement: [Pericle il nero, starring, Marina Foïs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Foïs Context triple: [Pericle il nero, starring, Marina Foïs]
-
A.
Marina Foïs
chosen
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.
-
B.
Béatrice Dalle
Béatrice Dalle is a French actress known for her intense, unconventional screen presence and breakout role in the 1986 film "Betty Blue."
-
C.
Nathalie Delon
Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
-
D.
Catherine Frot
Catherine Frot is a French actress acclaimed for her work in film, television, and theater, known for both her comedic talent and dramatic roles.
-
E.
Mireille Soria
Mireille Soria is a film producer best known for her work on major animated features at DreamWorks Animation.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.