Triple

T18666721
Position Surface form Disambiguated ID Type / Status
Subject Blaxploitation E456347 entity
Predicate hasStylisticElement P1609 FINISHED
Object gritty urban settings 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: gritty urban settings | Statement: [Blaxploitation, hasStylisticElement, gritty urban settings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStylisticElement
Context triple: [Blaxploitation, hasStylisticElement, gritty urban settings]
  • A. hasStructuralStyle
    Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
  • B. hasStyle chosen
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • C. hasSubstyle
    Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
  • D. hasContractStyle
    Indicates that one entity is associated with or characterized by a particular contract style or contractual format.
  • E. hasLyricalStyle
    Indicates that one entity possesses or is characterized by a particular lyrical style in relation to another entity 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e556ad88b481908bd008d469e878fd completed April 19, 2026, 10:26 p.m.
PD Predicate disambiguation batch_69e478db7a248190a8c6584673773923 completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:48 a.m.