Triple
T18923559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Голос |
E462920
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Кира Рудык
Кира Рудык — українська політикиня, народна депутатка та одна з лідерок ліберальної партії «Голос».
|
E1353094
|
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: Кира Рудык | Statement: [Голос, hasNotableMember, Кира Рудык]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Кира Рудык Context triple: [Голос, hasNotableMember, Кира Рудык]
-
A.
Oksana Shyshkova
Oksana Shyshkova is a Ukrainian Paralympic biathlete and cross-country skier who has won multiple medals at the Winter Paralympic Games.
-
B.
Daria Kulik
Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
-
C.
Oksana Slivenko
Oksana Slivenko is a Russian freestyle wrestler and world champion known for her success in international competitions, including the World Wrestling Championships.
-
D.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
E.
Oksana Kolesnikova
Oksana Kolesnikova is a Russian-born American pianist, composer, and entrepreneur known for her concert performances, original music, and educational and business ventures in the arts.
- 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: Кира Рудык Triple: [Голос, hasNotableMember, Кира Рудык]
Generated description
Кира Рудык — українська політикиня, народна депутатка та одна з лідерок ліберальної партії «Голос».
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Кира Рудык Target entity description: Кира Рудык — українська політикиня, народна депутатка та одна з лідерок ліберальної партії «Голос».
-
A.
Oksana Shyshkova
Oksana Shyshkova is a Ukrainian Paralympic biathlete and cross-country skier who has won multiple medals at the Winter Paralympic Games.
-
B.
Daria Kulik
Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
-
C.
Oksana Slivenko
Oksana Slivenko is a Russian freestyle wrestler and world champion known for her success in international competitions, including the World Wrestling Championships.
-
D.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
E.
Oksana Kolesnikova
Oksana Kolesnikova is a Russian-born American pianist, composer, and entrepreneur known for her concert performances, original music, and educational and business ventures in the arts.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b549448190850d7eed4de7872b |
completed | April 20, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b446651c819089f376107616b782 |
completed | May 14, 2026, 11:38 a.m. |
| NEDg | Description generation | batch_6a05b671b7588190a8361c3226aa1a99 |
completed | May 14, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b6cd93c88190a5400e86a14771f1 |
completed | May 14, 2026, 11:49 a.m. |
Created at: April 10, 2026, 11:59 a.m.