Triple
T3777944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oksana Baiul |
E83352
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Oksana Baiul |
E83352
|
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: Oksana Baiul | Statement: [Oksana Baiul, name, Oksana Baiul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oksana Baiul Context triple: [Oksana Baiul, name, Oksana Baiul]
-
A.
Oksana Baiul
chosen
Oksana Baiul is a Ukrainian figure skater who became the 1994 Olympic ladies' singles champion and one of the sport's most celebrated performers.
-
B.
Oksana Markarova
Oksana Markarova is a Ukrainian economist and politician who served as Ukraine’s Minister of Finance and later became the country’s ambassador to the United States.
-
C.
Oksana Astankova
Oksana Astankova is a charismatic and unpredictable Russian assassin, better known as Villanelle, from the television series "Killing Eve."
-
D.
Daria Kulik
Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
-
E.
Tetiana Zakharova
Tetiana Zakharova is a former Soviet basketball player who gained prominence as a key member of the USSR women's national team.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc5d3dbc8190b6ab118a56acd5a3 |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f03d3df48190a4b2382059b7bb24 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 8, 2026, 3:36 p.m.