Triple
T17508016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Grin |
E426373
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Grinevsky |
—
|
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: Grinevsky | Statement: [Alexander Grin, familyName, Grinevsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grinevsky Context triple: [Alexander Grin, familyName, Grinevsky]
-
A.
Grinevsky
chosen
Grinevsky is the original surname of Russian writer Alexander Grin, known for his romantic and adventure fiction.
-
B.
Lyubimov
Lyubimov is a Russian surname most notably associated with influential theatre director Yuri Lyubimov.
-
C.
Dvortsevoy
Dvortsevoy is the surname of Sergey Dvortsevoy, a Kazakh-born Russian film director and screenwriter known for his documentary and feature films.
-
D.
Furmanov
Furmanov is a small industrial town in Ivanovo Oblast, Russia, known historically for its textile industry and typical of the region’s provincial urban centers.
-
E.
Svetlanovsky
Svetlanovsky is a rural locality within Russia’s Vyborgsky District, known primarily as a small settlement in the Leningrad Oblast region.
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525985f881909a5ad28b30762680 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.