Triple
T9549468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dziga Vertov |
E230380
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Vostokkino |
E210739
|
NE FINISHED |
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: Vostokkino | Statement: [Dziga Vertov, employer, Vostokkino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vostokkino Context triple: [Dziga Vertov, employer, Vostokkino]
-
A.
Peredelkino
Peredelkino is a writers’ village near Moscow, Russia, historically known as a retreat and residence for many prominent Soviet and Russian authors, including Boris Pasternak.
-
B.
Odintsovo
Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
-
C.
Sovkino
chosen
Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
-
D.
Profsoyuznaya station
Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
E.
Yelets
Yelets is a historic city in western Russia known for its medieval origins, traditional lace-making, and role as a regional cultural and economic center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9906bc90819086f105c453e63c83 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c82c98c8190a4fd6fc3ceb4173d |
completed | April 4, 2026, 5:38 p.m. |
Created at: March 30, 2026, 8:02 p.m.