Triple
T31555217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дзига Вертов |
E805108
|
entity |
| Predicate | режиссёр фильма |
P46167
|
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, режиссёр фильма, «Человек с киноаппаратом»]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: режиссёр фильма Context triple: [Дзига Вертов, режиссёр фильма, «Человек с киноаппаратом»]
-
A.
director
Indicates that one entity serves as the director (creative or managerial leader) of another entity, such as a film, organization, or project.
-
B.
filmDirectorOfAssociatedWork
chosen
Indicates that a person serves as the director of the specified creative work (such as a film or related audiovisual production).
-
C.
directorDescribedAs
Indicates that a director is characterized or portrayed using a particular description, label, or set of attributes.
-
D.
directorSince
Indicates that one entity has held the role of director for another entity starting from a specified point in time.
-
E.
directorsOfFilm
Indicates the person or people who directed a given film.
- 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.