Triple
T31555216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дзига Вертов |
E805108
|
entity |
| Predicate | основная работа |
P40956
|
FINISHED |
| Object | «Человек с киноаппаратом» |
—
|
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: «Человек с киноаппаратом» | Statement: [Дзига Вертов, основная работа, «Человек с киноаппаратом»]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: основная работа Context triple: [Дзига Вертов, основная работа, «Человек с киноаппаратом»]
-
A.
primaryWork
chosen
Indicates that one work is the main or most significant work associated with a given entity, as opposed to other secondary or related works.
-
B.
workFor
Indicates that one entity is employed by or performs work under the authority or direction of another entity.
-
C.
basisOfWork
Indicates that one entity serves as the foundational source, reference, or inspiration upon which another work is created or derived.
-
D.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
-
E.
ownsWork
Indicates that one entity has legal ownership or proprietary rights over a particular work or creation.
- F. None of above.
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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:12 p.m.