Triple

T29472238
Position Surface form Disambiguated ID Type / Status
Subject Джентльмены удачи E747539 entity
Predicate сюжет P24126 FINISHED
Object воспитатель детского сада выдаёт себя за преступника-двойника по заданию милиции 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: воспитатель детского сада выдаёт себя за преступника-двойника по заданию милиции | Statement: [Джентльмены удачи, сюжет, воспитатель детского сада выдаёт себя за преступника-двойника по заданию милиции]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: сюжет
Context triple: [Джентльмены удачи, сюжет, воспитатель детского сада выдаёт себя за преступника-двойника по заданию милиции]
  • A. storyline chosen
    Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
  • B. partOfPlot
    Indicates that one event, action, or element is a constituent component within the overall plot of a narrative.
  • C. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • D. storyTitle
    Indicates that one entity is the title assigned to a story associated with another entity.
  • E. narrative
    Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
  • 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.