Triple
T29471945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Служебный роман |
E747531
|
entity |
| Predicate | актёр |
P5563
|
FINISHED |
| Object | Андрей Мягков |
—
|
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: Андрей Мягков | Statement: [Служебный роман, актёр, Андрей Мягков]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: актёр Context triple: [Служебный роман, актёр, Андрей Мягков]
-
A.
employedActor
Indicates that one entity has hired or currently employs another entity to perform work or services.
-
B.
europeanFilmActor
Indicates that a person is an actor who performs in films produced in Europe or within the European film industry.
-
C.
starredActor
chosen
Indicates that an actor performed a leading or significant role in a particular production or work.
-
D.
airedStarringActor
Indicates that a specific airing of a program featured a particular actor in a starring role.
-
E.
cast
Indicates that an agent selects and assigns a person or thing to play a specific role or function in a production or context.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66babf5e08190b8e1007546f3881a |
completed | May 2, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:57 p.m.