Triple

T14526346
Position Surface form Disambiguated ID Type / Status
Subject Whitley Gilbert E340786 entity
Predicate characterDevelopmentTheme P39449 FINISHED
Object class and cultural awareness 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: class and cultural awareness | Statement: [Whitley Gilbert, characterDevelopmentTheme, class and cultural awareness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterDevelopmentTheme
Context triple: [Whitley Gilbert, characterDevelopmentTheme, class and cultural awareness]
  • A. characterTheme chosen
    Indicates that a particular theme, motif, or conceptual focus is associated with a given character.
  • B. characterArc
    Indicates the developmental journey or transformation a character undergoes over the course of a narrative.
  • C. characterArcElement
    Indicates that one element is a component or stage within a character’s overall developmental arc or transformation.
  • D. developmentCharacter
    Indicates a relationship where one entity contributes to or influences the growth, formation, or evolution of another entity’s characteristics or qualities.
  • E. thematicCharacter
    Indicates that an entity serves as a central or recurring figure embodying key themes or motifs within a narrative or discourse.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea050781881909ed685d94479bf99 completed April 14, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69de5c518fc08190a6ce4d8be05c4c5d completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:22 a.m.