Triple

T21565502
Position Surface form Disambiguated ID Type / Status
Subject Anton Lavrentyevich Gvoncharov E532151 entity
Predicate associatedWithThemes P94402 FINISHED
Object political radicalism 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: political radicalism | Statement: [Anton Lavrentyevich Gvoncharov, associatedWithThemes, political radicalism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithThemes
Context triple: [Anton Lavrentyevich Gvoncharov, associatedWithThemes, political radicalism]
  • A. associatedWithAuthorTheme chosen
    Indicates a relationship where an author is linked to, or characterized by, a particular theme in their work or thought.
  • B. associatedThemeElements
    Indicates a relationship where certain elements are linked to, or grouped under, a particular theme as its related components.
  • C. associatedWithWorkTheme
    Indicates a relationship where something is connected or related to a particular work theme or subject matter.
  • D. majorThemeAssociation
    Indicates that one entity is associated with another as a primary or central theme.
  • E. associatedWithEpicTheme
    Indicates that something is connected or related to a particular epic theme, such as a major storyline, motif, or overarching narrative focus.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e777c881908de84493fa939ff3 completed April 27, 2026, 3:07 a.m.
PD Predicate disambiguation batch_69e6320c8c2c81908bf031447d66a052 completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:30 p.m.