Triple
T8391979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekaterina Gordeeva |
E197963
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Elizaveta Kulik
Elizaveta Kulik is the daughter of Russian Olympic figure skating champion Ekaterina Gordeeva and her second husband, figure skater Ilia Kulik.
|
E763867
|
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: Elizaveta Kulik | Statement: [Ekaterina Gordeeva, child, Elizaveta Kulik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elizaveta Kulik Context triple: [Ekaterina Gordeeva, child, Elizaveta Kulik]
-
A.
Ekaterina Kulik
Ekaterina Kulik is a notable individual who bears the surname Kulik, though specific widely recognized public information about her is limited.
-
B.
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.
-
C.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
D.
Yulia Kulik
Yulia Kulik is a notable individual recognized as a prominent bearer of the surname Kulik.
-
E.
Irina Kulik
Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
- 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: Elizaveta Kulik Triple: [Ekaterina Gordeeva, child, Elizaveta Kulik]
Generated description
Elizaveta Kulik is the daughter of Russian Olympic figure skating champion Ekaterina Gordeeva and her second husband, figure skater Ilia Kulik.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elizaveta Kulik Target entity description: Elizaveta Kulik is the daughter of Russian Olympic figure skating champion Ekaterina Gordeeva and her second husband, figure skater Ilia Kulik.
-
A.
Ekaterina Kulik
Ekaterina Kulik is a notable individual who bears the surname Kulik, though specific widely recognized public information about her is limited.
-
B.
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.
-
C.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
D.
Yulia Kulik
Yulia Kulik is a notable individual recognized as a prominent bearer of the surname Kulik.
-
E.
Irina Kulik
Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
- 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810e16b081908e2c25bfb9d590ed |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab16ebd08190a4851e70a41e9908 |
completed | April 3, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_69cfac76d0f8819090c2bff520db52f4 |
completed | April 3, 2026, 12:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad04e514819084bf30b8f026c031 |
completed | April 3, 2026, 12:05 p.m. |
Created at: March 30, 2026, 6:03 p.m.