Triple

T19854457
Position Surface form Disambiguated ID Type / Status
Subject Aerie E477093 entity
Predicate advertisingPractice P137581 FINISHED
Object no airbrushing 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: no airbrushing | Statement: [Aerie, advertisingPractice, no airbrushing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: advertisingPractice
Context triple: [Aerie, advertisingPractice, no airbrushing]
  • A. advertises
    Indicates that one entity promotes, publicizes, or markets another entity, typically to attract attention or customers.
  • B. adType
    Indicates the classification or category of an advertisement associated with an entity or event.
  • C. marketingAs
    Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
  • D. involvedCampaignAdvertising
    Indicates that an entity participated in or contributed to the creation, distribution, or execution of campaign-related advertising activities.
  • E. includesAdvertisingClause
    Indicates that a contract or agreement contains a specific clause governing advertising-related rights, obligations, or restrictions.
  • F. None of above. chosen

Provenance (4 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586b5b088190948ef002c1e77176 completed April 20, 2026, 4:46 p.m.
PD Predicate disambiguation batch_69e537e21d2881909b1be82f02b99d40 completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c136b081909cab9394b958390a completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 1:51 p.m.