Triple
T9222076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daria Kulik |
E221585
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Ilia Kulik |
E37973
|
NE FINISHED |
How this triple was built (2 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: Ilia Kulik | Statement: [Daria Kulik, parent, Ilia Kulik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilia Kulik Context triple: [Daria Kulik, parent, Ilia Kulik]
-
A.
Ilia Kulik
chosen
Ilia Kulik is a Russian figure skater best known for winning the men's singles gold medal at the 1998 Winter Olympics.
-
B.
Pavel Kulik
Pavel Kulik is a person notable enough to be recognized as a bearer of the surname Kulik.
-
C.
Dmitry Kulik
Dmitry Kulik is a notable individual who shares the surname Kulik, recognized as a distinguished bearer of that name.
-
D.
Sergei Kulik
Sergei Kulik is a Russian individual notable enough to be recognized as a bearer of the surname Kulik, though specific widely known public achievements or roles are not clearly documented.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda76e3648190af9e24381db7679a |
completed | April 1, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0779651588190a00179dec66bc228 |
completed | April 4, 2026, 2:29 a.m. |
Created at: March 30, 2026, 7:28 p.m.