Triple
T1826085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The General Line |
E40654
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Sovkino |
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: Sovkino | Statement: [The General Line, distributor, Sovkino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sovkino Context triple: [The General Line, distributor, Sovkino]
-
A.
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.
-
B.
Rubtsovsk
Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery center.
-
C.
Komsomolskaya
Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
-
D.
Kastoria
Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
-
E.
Astapovo
Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb00f13888190aa5582263d55d371 |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead6888081909f89704f0c070d68 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:32 p.m.