Triple
T29472675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Семнадцать мгновений весны |
E747553
|
entity |
| Predicate | главныйАктёр |
P166850
|
FINISHED |
| Object | Вячеслав Тихонов |
—
|
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: Вячеслав Тихонов | Statement: [Семнадцать мгновений весны, главныйАктёр, Вячеслав Тихонов]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: главныйАктёр Context triple: [Семнадцать мгновений весны, главныйАктёр, Вячеслав Тихонов]
-
A.
leadRoleActor
chosen
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
primaryActor
Indicates that the referenced entity is the main participant or most central party responsible for the action or event in the relationship.
-
C.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
D.
majorActor
Indicates that the subject is a primary or leading participant in the action, event, or production involving the object.
-
E.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
- 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_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 3:58 p.m.