Triple
T19934444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oksana Markarova |
E479137
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Oksana |
—
|
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: Oksana | Statement: [Oksana Markarova, givenName, Oksana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oksana Context triple: [Oksana Markarova, givenName, Oksana]
-
A.
Oksana
chosen
Oksana is a feminine given name of Ukrainian origin, most famously borne by Olympic champion figure skater Oksana Baiul.
-
B.
Oksana Skaldina
Oksana Skaldina is a former Soviet and Ukrainian rhythmic gymnast renowned for winning multiple World Championship titles and an Olympic bronze medal in the early 1990s.
-
C.
Oksana Akinshina
Oksana Akinshina is a Russian film actress known for her roles in movies such as "Lilya 4-ever," "The Bourne Supremacy," and "Hipsters."
-
D.
Oksana Kazakova
Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
-
E.
Oksana Pochepa
Oksana Pochepa is a Russian pop singer and former teen idol known for her early 2000s hits and work under the stage name Akula.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a161a6c819084165ea528ec2f64 |
completed | April 20, 2026, 4:53 p.m. |
Created at: April 10, 2026, 1:53 p.m.