Triple
T19775970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Vovin |
E475002
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vovin |
—
|
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: Vovin | Statement: [Alexander Vovin, familyName, Vovin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vovin Context triple: [Alexander Vovin, familyName, Vovin]
-
A.
Vovin
chosen
Vovin is a surname most notably associated with Alexander Vovin, a prominent linguist and specialist in East Asian historical languages.
-
B.
Vitaly
Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
-
C.
Vova
Vova is a common Russian diminutive form of the male given name Vladimir.
-
D.
Kovpak
Kovpak is a Ukrainian surname most notably associated with Sydir Kovpak, a famed Soviet partisan leader during World War II.
-
E.
Viktoh
Viktoh is a Nigerian musician and recording artist known for his work in the Afrobeats and street-hop scene.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535fb114819089911ed3ba6565c0 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.