Triple
T19850551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kogan |
E476979
|
entity |
| Predicate | isRelatedSurname |
P3889
|
FINISHED |
| Object | Koganov |
—
|
NE NERFINISHED |
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: Koganov | Statement: [Kogan, isRelatedSurname, Koganov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koganov Context triple: [Kogan, isRelatedSurname, Koganov]
-
A.
Koganov
chosen
Koganov is a surname, likely of Slavic or Eastern European origin, used as a variant form of the name Kogan.
-
B.
Gryzlov
Gryzlov is a Russian surname most prominently associated with Boris Gryzlov, a notable Russian politician and former chairman of the State Duma.
-
C.
Kozlov
Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
-
D.
Kozlov
Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
-
E.
Kovalyov
Kovalyov is the absurdly unfortunate civil servant protagonist of Shostakovich’s opera “The Nose,” whose detached nose gains a higher social rank than he does.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65867b5408190bbd12ca567c4705f |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.