Triple

T24210342
Position Surface form Disambiguated ID Type / Status
Subject Tom Garner E600521 entity
Predicate centralThemeEmbodiment P81245 FINISHED
Object corrupting influence of power 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: corrupting influence of power | Statement: [Tom Garner, centralThemeEmbodiment, corrupting influence of power]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralThemeEmbodiment
Context triple: [Tom Garner, centralThemeEmbodiment, corrupting influence of power]
  • A. centralThemeContext
    Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
  • B. centralThemeConnection
    Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
  • C. thematicConcept chosen
    Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
  • D. hasCentralTheme
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • E. centralThemeContribution
    Indicates that one entity contributes significantly to shaping, supporting, or expressing the central theme of another entity.
  • 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_69e2953344c48190875730c7d52112a0 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f282020a5881909df47f766c3ee7af completed April 29, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69f1c43e55688190b55fc20274ed471c completed April 29, 2026, 8:41 a.m.
Created at: April 17, 2026, 11:54 p.m.