Triple

T22288366
Position Surface form Disambiguated ID Type / Status
Subject Lingerie Football League E550922 entity
Predicate uniformControversy P42781 FINISHED
Object sexualized uniforms criticized as objectifying women 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: sexualized uniforms criticized as objectifying women | Statement: [Lingerie Football League, uniformControversy, sexualized uniforms criticized as objectifying women]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: uniformControversy
Context triple: [Lingerie Football League, uniformControversy, sexualized uniforms criticized as objectifying women]
  • A. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • B. controversy
    Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
  • C. controversyType chosen
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • D. controversialStatus
    Indicates that the subject is associated with debate, dispute, or disagreement regarding its acceptance, validity, or appropriateness.
  • E. viewOnControversy
    Indicates a stance, opinion, or perspective that an entity holds regarding a controversial issue or topic.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15609854c81908adb7681cff2c404 completed April 29, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69e72ffa438481908f80879aef2a589b completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:41 p.m.