Triple

T35660456
Position Surface form Disambiguated ID Type / Status
Subject Beaches Ain't Ready E1030417 entity
Predicate promotesSetting P89047 FINISHED
Object beach setting of Baywatch (2017 film) 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: beach setting of Baywatch (2017 film) | Statement: [Beaches Ain't Ready, promotesSetting, beach setting of Baywatch (2017 film)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: promotesSetting
Context triple: [Beaches Ain't Ready, promotesSetting, beach setting of Baywatch (2017 film)]
  • A. promotesUseIn
    Indicates that one entity actively encourages, supports, or increases the adoption or application of another entity within a particular context or setting.
  • B. promotes
    Indicates that one entity actively supports, advances, or encourages the growth, adoption, or success of another entity or outcome.
  • C. coversSetting chosen
    Indicates that one entity includes or addresses a particular setting or context within its scope.
  • D. promotedFeature
    Indicates that one entity is highlighted, advertised, or given elevated visibility or priority as a special feature by another entity.
  • E. notableSetting
    Indicates that a particular place or environment is especially significant or prominent as the context in which an entity is situated or occurs.
  • 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_69f76e09f87881909c954aaac176c34f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7b2f3a104819098ddd8909eaf596c completed May 3, 2026, 8:41 p.m.
PD Predicate disambiguation batch_69f7b1b8a9fc8190a1279e67a2d12707 completed May 3, 2026, 8:36 p.m.
Created at: May 3, 2026, 4:05 p.m.