Triple
T8271277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulik |
E193432
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Svetlana Kulik
Svetlana Kulik is a notable individual recognized for achievements significant enough to be recorded in biographical or reference sources.
|
E748204
|
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: Svetlana Kulik | Statement: [Kulik, hasNotableBearer, Svetlana Kulik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svetlana Kulik Context triple: [Kulik, hasNotableBearer, Svetlana Kulik]
-
A.
Irina Kulik
Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
-
B.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
C.
Galina Kulik
Galina 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 readily available.
-
D.
Anna Vasilchikova
Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
-
E.
Veronika Ozerova
Veronika Ozerova is an actress known for appearing in the science fiction war film "The Darkest Hour."
- 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: Svetlana Kulik Triple: [Kulik, hasNotableBearer, Svetlana Kulik]
Generated description
Svetlana Kulik is a notable individual recognized for achievements significant enough to be recorded in biographical or reference sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Svetlana Kulik Target entity description: Svetlana Kulik is a notable individual recognized for achievements significant enough to be recorded in biographical or reference sources.
-
A.
Irina Kulik
Irina Kulik is a Russian art critic, journalist, and lecturer known for her work on contemporary art and culture.
-
B.
Elena Kulik
Elena Kulik is a Russian figure skater known for competing internationally in the 1990s.
-
C.
Galina Kulik
Galina 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 readily available.
-
D.
Anna Vasilchikova
Anna Vasilchikova was a Russian noblewoman who became one of the later wives of Tsar Ivan IV "the Terrible" of Russia.
-
E.
Veronika Ozerova
Veronika Ozerova is an actress known for appearing in the science fiction war film "The Darkest Hour."
- 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_69cecc2137c88190ad5949df5a7487f2 |
completed | April 2, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 5:50 p.m.