Triple

T8857561
Position Surface form Disambiguated ID Type / Status
Subject Suzy Amis Cameron E210795 entity
Predicate RedCarpetGreenDressFocus P31 FINISHED
Object sustainable fashion on the Oscars red carpet 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: sustainable fashion on the Oscars red carpet | Statement: [Suzy Amis Cameron, RedCarpetGreenDressFocus, sustainable fashion on the Oscars red carpet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: RedCarpetGreenDressFocus
Context triple: [Suzy Amis Cameron, RedCarpetGreenDressFocus, sustainable fashion on the Oscars red carpet]
  • A. dressFeature
    Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
  • B. hasRedCarpetEvent
    Indicates that an entity hosts, organizes, or is associated with an event featuring a formal red-carpet arrival or ceremony.
  • C. ceremonialDressFeature
    Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
  • D. focusesOn chosen
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • E. usesDressing
    Indicates that one entity applies or employs a particular dressing (such as a sauce, covering, or treatment) in relation to another entity or context.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e3b62c8190bf779e7e1db767f6 completed April 1, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69cc5c279ea481908c71756f694b66bf completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:50 p.m.