Triple

T17883791
Position Surface form Disambiguated ID Type / Status
Subject Hellblazer E447152 entity
Predicate protagonistPersonalityTrait P21469 FINISHED
Object cynical 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: cynical | Statement: [Hellblazer, protagonistPersonalityTrait, cynical]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: protagonistPersonalityTrait
Context triple: [Hellblazer, protagonistPersonalityTrait, cynical]
  • A. protagonistCharacteristic chosen
    Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
  • B. protagonistType
    Indicates the role or category that the main character (protagonist) of a story or scenario belongs to.
  • C. protagonistDescription
    Indicates that a text provides a descriptive summary or characterization of the story’s main protagonist.
  • D. protagonistIs
    Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
  • E. protagonistField
    Indicates that the subject is the main or central character (protagonist) within the specified narrative or context.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c11530881908ad98fbd0a52b1c3 completed April 19, 2026, 9:10 a.m.
PD Predicate disambiguation batch_69e3d8e9b77c8190bbfb508f28dfacfa completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:18 a.m.