Triple
T22433573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oblivion |
E554557
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Olga Kurylenko |
—
|
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: Olga Kurylenko | Statement: [Oblivion, castMember, Olga Kurylenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olga Kurylenko Context triple: [Oblivion, castMember, Olga Kurylenko]
-
A.
Olga Kurylenko
chosen
Olga Kurylenko is a Ukrainian-French actress and model best known for her roles in action and thriller films, including the James Bond movie "Quantum of Solace."
-
B.
Svetlana Khodchenkova
Svetlana Khodchenkova is a Russian film and television actress known internationally for roles in movies such as "Tinker Tailor Soldier Spy" and "The Wolverine."
-
C.
Angelina Melnikova
Angelina Melnikova is a Russian artistic gymnast and Olympic champion known for her success in team and individual all-around events at major international competitions.
-
D.
Dominika Egorova
Dominika Egorova is the fictional Russian ballerina-turned-spy protagonist of the espionage thriller "Red Sparrow."
-
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 (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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15adce9688190992ad0ca15883931 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 16, 2026, 8:47 p.m.