Triple

T32191805
Position Surface form Disambiguated ID Type / Status
Subject Janet Tyler E822274 entity
Predicate hasMakeupEffectContrast P161798 FINISHED
Object normal‑looking protagonist in a world of distorted faces 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: normal‑looking protagonist in a world of distorted faces | Statement: [Janet Tyler, hasMakeupEffectContrast, normal‑looking protagonist in a world of distorted faces]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMakeupEffectContrast
Context triple: [Janet Tyler, hasMakeupEffectContrast, normal‑looking protagonist in a world of distorted faces]
  • A. hasMakeupEffectsBy
    Indicates that the makeup effects for an entity (such as a film or production) are created or supervised by a specified person or team.
  • B. contrastEffect
    Indicates that one entity’s characteristics are perceived or evaluated differently because they are compared or juxtaposed with another entity.
  • C. textureContrast
    Indicates a relationship where two surfaces or regions differ noticeably in their tactile or visual texture qualities.
  • D. facialMakeupIndicates chosen
    Indicates that the presence, style, or characteristics of facial makeup convey or signify a particular state, role, identity, or condition of an entity.
  • E. achievesContrast
    Indicates that one entity creates or enhances a visual or conceptual difference relative to another entity.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a007ef69f5c8190be6fb89e918d30fa completed May 10, 2026, 12:49 p.m.
PD Predicate disambiguation batch_6a007e4060448190ad7420b07c1fe219 completed May 10, 2026, 12:46 p.m.
Created at: May 1, 2026, 12:35 a.m.