Triple

T32851572
Position Surface form Disambiguated ID Type / Status
Subject Juror 5 E840265 entity
Predicate perspectiveShapedBy P76313 FINISHED
Object personal experiences in a poor urban neighborhood 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: personal experiences in a poor urban neighborhood | Statement: [Juror 5, perspectiveShapedBy, personal experiences in a poor urban neighborhood]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perspectiveShapedBy
Context triple: [Juror 5, perspectiveShapedBy, personal experiences in a poor urban neighborhood]
  • A. perspectiveOf
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • B. exploresPerspectiveOf
    Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with another entity.
  • C. settingOfPerspective chosen
    Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
  • D. useOfPerspective
    Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
  • E. portrayedFromPerspectiveOf
    Indicates that something is depicted or represented as seen from the viewpoint or subjective perspective of a particular 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_69f349412c78819084459850e11d29f7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6ce786af4819082f159abf7bef62c completed May 3, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69f6cc1667a48190b42684f6ec22dae9 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:17 a.m.