Triple

T32892779
Position Surface form Disambiguated ID Type / Status
Subject Sandy Richardson E841381 entity
Predicate usesWheelchairInStory P60789 FINISHED
Object true 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: true | Statement: [Sandy Richardson, usesWheelchairInStory, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesWheelchairInStory
Context triple: [Sandy Richardson, usesWheelchairInStory, true]
  • A. usesWheelchair chosen
    Indicates that an entity relies on or operates a wheelchair for mobility or transportation.
  • B. wheelchairAccessibility
    Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
  • C. hasWheelchairSpace
    Indicates that an object, location, or vehicle includes designated space that can accommodate a wheelchair user.
  • D. wheelchairTransferRequired
    Indicates that a person must be transferred into or out of a wheelchair in order to perform or complete the associated activity or service.
  • E. portraysCharacterWithDisability
    Indicates that an entity depicts or represents a character who has a disability.
  • 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_69f34945ae408190b72d8118c83beb77 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d16f5cb881908eed141afaaa0b51 completed May 3, 2026, 4:39 a.m.
PD Predicate disambiguation batch_69f6cfe45554819089cbbd538d992132 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:18 a.m.