Triple

T12540787
Position Surface form Disambiguated ID Type / Status
Subject Young Adult Science Fiction and Fantasy E299830 entity
Predicate hasRelatedAudienceCategory P16969 FINISHED
Object New Adult fiction 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: New Adult fiction | Statement: [Young Adult Science Fiction and Fantasy, hasRelatedAudienceCategory, New Adult fiction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRelatedAudienceCategory
Context triple: [Young Adult Science Fiction and Fantasy, hasRelatedAudienceCategory, New Adult fiction]
  • A. hasRelatedCategory chosen
    Indicates that one category is associated with another category through a non-hierarchical, contextually relevant relationship.
  • B. hasCategoryOn
    Indicates that something is assigned to or associated with a specific category within a given context or scope.
  • C. hasAudienceReach
    Indicates the extent or scope of people or groups that are exposed to, can access, or are targeted by a particular entity, message, or activity.
  • D. relatesToAudience
    Indicates a general relationship or relevance between something and a particular audience or group of recipients.
  • E. hasCategoryGroup
    Indicates that something is associated with, or belongs to, a broader grouping of related categories.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d9540d7b788190a0d57b098e90e491 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 9:57 p.m.