Triple

T22048464
Position Surface form Disambiguated ID Type / Status
Subject Stepan Trofimovich Verkhovensky E544821 entity
Predicate influencesWithinFiction P18315 FINISHED
Object younger generation of radicals 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: younger generation of radicals | Statement: [Stepan Trofimovich Verkhovensky, influencesWithinFiction, younger generation of radicals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influencesWithinFiction
Context triple: [Stepan Trofimovich Verkhovensky, influencesWithinFiction, younger generation of radicals]
  • A. literaryInfluence chosen
    Indicates that one entity has had a significant impact on the style, themes, or development of another entity’s literary work.
  • B. cultureInFiction
    Indicates that a work of fiction features, represents, or is thematically centered on a particular culture.
  • C. relatedToInFiction
    Indicates that one entity is connected to another within a fictional context, such as a story, universe, or narrative work.
  • D. authorshipInFiction
    Indicates that one entity is the creator or writer of a fictional work in which another entity appears or is represented.
  • E. eraWithinFiction
    Indicates that a time period or era exists inside the narrative world or timeline of a fictional 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1283191e48190b4ddc84138243327 completed April 28, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69e6f643ca74819083e8ab78e843f243 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:26 p.m.