Triple
T8271273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulik |
E193432
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Tatiana Kulik
Tatiana Kulik is a person notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about her are not clearly established.
|
E742824
|
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: Tatiana Kulik | Statement: [Kulik, hasNotableBearer, Tatiana Kulik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatiana Kulik Context triple: [Kulik, hasNotableBearer, Tatiana Kulik]
-
A.
Elena Berezhnaya
Elena Berezhnaya is a Russian former pair skater best known for her successful partnership with Anton Sikharulidze, with whom she won multiple World and Olympic medals.
-
B.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
C.
Oksana Grishuk
Oksana Grishuk is a Russian former ice dancer best known as a multiple-time Olympic and World champion with partner Evgeni Platov.
-
D.
Irina Kulik
Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
-
E.
Nastia Liukin
Nastia Liukin is an American artistic gymnast and 2008 Olympic all-around champion known for her elegant style and multiple World and Olympic medals.
- 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: Tatiana Kulik Triple: [Kulik, hasNotableBearer, Tatiana Kulik]
Generated description
Tatiana Kulik is a person notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about her are not clearly established.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tatiana Kulik Target entity description: Tatiana Kulik is a person notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public details about her are not clearly established.
-
A.
Elena Berezhnaya
Elena Berezhnaya is a Russian former pair skater best known for her successful partnership with Anton Sikharulidze, with whom she won multiple World and Olympic medals.
-
B.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
C.
Oksana Grishuk
Oksana Grishuk is a Russian former ice dancer best known as a multiple-time Olympic and World champion with partner Evgeni Platov.
-
D.
Irina Kulik
Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
-
E.
Nastia Liukin
Nastia Liukin is an American artistic gymnast and 2008 Olympic all-around champion known for her elegant style and multiple World and Olympic medals.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7986f8cc8190a529dda980dd6e98 |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8877499081909d8e3762e9c1ed2f |
completed | April 2, 2026, 3:17 p.m. |
| NEDg | Description generation | batch_69ce8a442b508190bd8319fda51edc4b |
completed | April 2, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8afff50c8190b2dd1a7e0a5a130b |
completed | April 2, 2026, 3:28 p.m. |
Created at: March 30, 2026, 5:50 p.m.