Triple
T22921933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marina Vlady |
E568885
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Marina Vlady |
—
|
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: Marina Vlady | Statement: [Marina Vlady, name, Marina Vlady]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Vlady Context triple: [Marina Vlady, name, Marina Vlady]
-
A.
Marina Vlady
chosen
Marina Vlady is a French actress of Russian descent renowned for her work in European cinema from the 1950s onward and for her prominent cultural presence in France.
-
B.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
C.
Nathalie Vadim
Nathalie Vadim is a French assistant director and filmmaker, known for her work in cinema and as the daughter of director Roger Vadim.
-
D.
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.
-
E.
Raisa Kurkina
Raisa Kurkina is a Soviet actress best known for her role in the classic 1970 film "White Sun of the Desert."
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d5658c81908dbbb5882fcc1b8b |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:43 p.m.