Triple
T29472243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Джентльмены удачи |
E747539
|
entity |
| Predicate | тип производства |
P2475
|
FINISHED |
| Object | широкоформатный фильм |
—
|
LITERAL 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: широкоформатный фильм | Statement: [Джентльмены удачи, тип производства, широкоформатный фильм]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: тип производства Context triple: [Джентльмены удачи, тип производства, широкоформатный фильм]
-
A.
typicalProductionType
chosen
Indicates the usual or characteristic type of production activity associated with an entity.
-
B.
partOfProduction
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
-
C.
productionTypeSpecialization
Indicates a relationship where one production type is a more specific or specialized form of another, broader production type.
-
D.
componentTypeProduced
Indicates that one entity produces or manufactures a specific type of component as an output of its activity or process.
-
E.
firstProductionType
Indicates the type or category of the initial production associated with an entity, such as its first manufacturing, creation, or release process.
- 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, 3:58 p.m.