Triple
T9480282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagan |
E228617
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Oleh Kagan
Oleh Kagan was a distinguished Soviet violinist renowned for his expressive interpretations of classical and contemporary repertoire, particularly in chamber music.
|
E802461
|
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: Oleh Kagan | Statement: [Kagan, hasNotableBearer, Oleh Kagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oleh Kagan Context triple: [Kagan, hasNotableBearer, Oleh Kagan]
-
A.
Kagan
Kagan is a surname most prominently associated with Elena Kagan, an Associate Justice of the United States Supreme Court.
-
B.
Kohn
Kohn is a surname shared by various notable individuals across fields such as science, arts, and public life.
-
C.
Cohen-Kagan
Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
-
D.
Kahn and Jacobs
Kahn and Jacobs was a prominent 20th-century American architectural firm known for designing major commercial and cultural buildings, particularly in New York City.
-
E.
Kugler
Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
- 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: Oleh Kagan Triple: [Kagan, hasNotableBearer, Oleh Kagan]
Generated description
Oleh Kagan was a distinguished Soviet violinist renowned for his expressive interpretations of classical and contemporary repertoire, particularly in chamber music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oleh Kagan Target entity description: Oleh Kagan was a distinguished Soviet violinist renowned for his expressive interpretations of classical and contemporary repertoire, particularly in chamber music.
-
A.
Kagan
Kagan is a surname most prominently associated with Elena Kagan, an Associate Justice of the United States Supreme Court.
-
B.
Kohn
Kohn is a surname shared by various notable individuals across fields such as science, arts, and public life.
-
C.
Cohen-Kagan
Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
-
D.
Kahn and Jacobs
Kahn and Jacobs was a prominent 20th-century American architectural firm known for designing major commercial and cultural buildings, particularly in New York City.
-
E.
Kugler
Kugler is a German-language surname borne by various notable individuals across fields such as history, the arts, and public life.
- 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_69ca84730a5081908de282651019bf2f |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd8016813881908dafc026779c89c4 |
completed | April 1, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cf7526c8190b96693bdc13743d5 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12ed9240c8190bd206a0d2263e249 |
completed | April 4, 2026, 3:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12f870d2881909b0b50adfd2ba13b |
completed | April 4, 2026, 3:34 p.m. |
Created at: March 30, 2026, 7:54 p.m.