Triple
T16073285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oksana |
E389917
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Oksana Shachko
Oksana Shachko was a Ukrainian artist and feminist activist best known as one of the co-founders of the radical protest group FEMEN.
|
E1206013
|
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 Shachko | Statement: [Oksana, hasNotableBearer, Oksana Shachko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oksana Shachko Context triple: [Oksana, hasNotableBearer, Oksana Shachko]
-
A.
Oksana Kazakova
Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
-
B.
Tatjana Masurenko
Tatjana Masurenko is a distinguished violist and pedagogue known for her international solo career and influential teaching in Europe.
-
C.
Oxana Skorik
Oxana Skorik is a Russian ballet dancer and principal ballerina renowned for her classical technique and performances with the Mariinsky Ballet.
-
D.
Natalya Andrejchenko
Natalya Andrejchenko is a Russian actress best known for her title role in the 1984 Soviet film "Mary Poppins, Goodbye."
-
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. 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 Shachko Triple: [Oksana, hasNotableBearer, Oksana Shachko]
Generated description
Oksana Shachko was a Ukrainian artist and feminist activist best known as one of the co-founders of the radical protest group FEMEN.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oksana Shachko Target entity description: Oksana Shachko was a Ukrainian artist and feminist activist best known as one of the co-founders of the radical protest group FEMEN.
-
A.
Oksana Kazakova
Oksana Kazakova is a Russian former pair skater best known as the 1998 Olympic champion with partner Artur Dmitriev.
-
B.
Tatjana Masurenko
Tatjana Masurenko is a distinguished violist and pedagogue known for her international solo career and influential teaching in Europe.
-
C.
Oxana Skorik
Oxana Skorik is a Russian ballet dancer and principal ballerina renowned for her classical technique and performances with the Mariinsky Ballet.
-
D.
Natalya Andrejchenko
Natalya Andrejchenko is a Russian actress best known for her title role in the 1984 Soviet film "Mary Poppins, Goodbye."
-
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. 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_6a001f8174648190a44a2605a77c859d |
completed | May 10, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a002156469881908cbd6c69ce7133fc |
completed | May 10, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0021d96ffc8190969ad627c639e4d9 |
completed | May 10, 2026, 6:12 a.m. |
Created at: April 10, 2026, 4:57 a.m.