Triple
T16073306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oksana |
E389917
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Oksana Shyshkina
Oksana Shyshkina is a notable individual recognized for achievements associated with the given name Oksana.
|
E1195270
|
NE FINISHED |
How this triple was built (4 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 Shyshkina | Statement: [Oksana, hasNotableBearer, Oksana Shyshkina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oksana Shyshkina Context triple: [Oksana, hasNotableBearer, Oksana Shyshkina]
-
A.
Oksana Domnina
Oksana Domnina is a Russian former ice dancer best known for winning the 2010 World Championship and multiple European titles with her partner Maxim Shabalin.
-
B.
Oksana Grishuk
Oksana Grishuk is a Russian former ice dancer best known as a multiple-time Olympic and World champion with partner Evgeni Platov.
-
C.
Ekaterina Gordeeva
Ekaterina Gordeeva is a Russian former pair skater and two-time Olympic champion, renowned for her artistry and partnership with the late Sergei Grinkov.
-
D.
Oksana Astankova
Oksana Astankova is a charismatic and unpredictable Russian assassin, better known as Villanelle, from the television series "Killing Eve."
-
E.
Tatiana Goryacheva
Tatiana Goryacheva is a notable individual who bears the Russian surname Goryacheva.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oksana Shyshkina Triple: [Oksana, hasNotableBearer, Oksana Shyshkina]
Generated description
Oksana Shyshkina is a notable individual recognized for achievements associated with the given name Oksana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oksana Shyshkina Target entity description: Oksana Shyshkina is a notable individual recognized for achievements associated with the given name Oksana.
-
A.
Oksana Domnina
Oksana Domnina is a Russian former ice dancer best known for winning the 2010 World Championship and multiple European titles with her partner Maxim Shabalin.
-
B.
Oksana Grishuk
Oksana Grishuk is a Russian former ice dancer best known as a multiple-time Olympic and World champion with partner Evgeni Platov.
-
C.
Ekaterina Gordeeva
Ekaterina Gordeeva is a Russian former pair skater and two-time Olympic champion, renowned for her artistry and partnership with the late Sergei Grinkov.
-
D.
Oksana Astankova
Oksana Astankova is a charismatic and unpredictable Russian assassin, better known as Villanelle, from the television series "Killing Eve."
-
E.
Tatiana Goryacheva
Tatiana Goryacheva is a notable individual who bears the Russian surname Goryacheva.
- F. None of above. chosen
Provenance (5 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c0390c8190b0da263cccec14e5 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff299f14c8190a5f88754b6a78b1f |
completed | May 10, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_69fff3478bfc8190bbcc0afbf6dbb089 |
completed | May 10, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff3d29f50819093a9355d016f48dd |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 10, 2026, 4:57 a.m.