Triple
T2406302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svetlana Khodchenkova |
E50283
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Svetlana Khodchenkova |
E50283
|
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: Svetlana Khodchenkova | Statement: [Svetlana Khodchenkova, name, Svetlana Khodchenkova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svetlana Khodchenkova Context triple: [Svetlana Khodchenkova, name, Svetlana Khodchenkova]
-
A.
Svetlana Khodchenkova
chosen
Svetlana Khodchenkova is a Russian film and television actress known internationally for roles in movies such as "Tinker Tailor Soldier Spy" and "The Wolverine."
-
B.
Katja Koroleva
Katja Koroleva is an American soccer referee known for officiating at the highest levels of women’s professional and international football.
-
C.
Dominika Egorova
Dominika Egorova is the fictional Russian ballerina-turned-spy protagonist of the espionage thriller "Red Sparrow."
-
D.
Daria Kulik
Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
-
E.
Olga Kurylenko
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."
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc8fb78408190b99fa8b4dfaaa75d |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f7d18f88190bc19aa6b7b687b8e |
completed | March 9, 2026, 7:29 p.m. |
Created at: March 4, 2026, 7:58 p.m.