Triple

T12108279
Position Surface form Disambiguated ID Type / Status
Subject Bright Victory E288357 entity
Predicate disabilityPortrayed P101225 FINISHED
Object blindness 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: blindness | Statement: [Bright Victory, disabilityPortrayed, blindness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disabilityPortrayed
Context triple: [Bright Victory, disabilityPortrayed, blindness]
  • A. portraysCharacterWithDisability chosen
    Indicates that an entity depicts or represents a character who has a disability.
  • B. hasDisabilityRepresentation
    Indicates that something includes, portrays, or accounts for the presence and experiences of people with disabilities.
  • C. disability
    Indicates that an entity has a physical, mental, or sensory impairment that substantially limits one or more major life activities.
  • D. causeOfDisability
    Indicates that one entity is the reason or source that brings about another entity’s disability.
  • E. disabilityCategories
    Indicates that there is a relationship specifying which disability category or categories are associated with a given 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9164ada5081908676bd9e5947268a completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150497408190921334d21503375a completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:49 p.m.