Triple

T33758597
Position Surface form Disambiguated ID Type / Status
Subject Malibu Stacy E865044 entity
Predicate targetDemographicInUniverse P138908 FINISHED
Object young girls 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: young girls | Statement: [Malibu Stacy, targetDemographicInUniverse, young girls]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetDemographicInUniverse
Context triple: [Malibu Stacy, targetDemographicInUniverse, young girls]
  • A. targetAudienceWithinFiction chosen
    Indicates that the intended audience of a work exists as characters or entities within the fictional world depicted by that work.
  • B. typicalAudience
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • C. targetAudienceFranchise
    Indicates that something is specifically intended for or directed toward a particular franchise as its primary audience.
  • D. eligibilityUniverse
    Indicates the overall set of conditions or criteria that determine whether an entity is eligible for a given program, status, or action.
  • E. ethnicityInUniverse
    Indicates that, within a given fictional or defined universe, a particular entity is associated with or belongs to a specified ethnicity as understood in that universe.
  • 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_69f3498d3b748190aa3c4006c1f32f38 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe91383a1c81909266e40c3c3ede6c completed May 9, 2026, 1:43 a.m.
PD Predicate disambiguation batch_69fe8fde094081908f0f121664fbb5c7 completed May 9, 2026, 1:37 a.m.
Created at: May 1, 2026, 1:45 a.m.