Triple

T1024190
Position Surface form Disambiguated ID Type / Status
Subject Mamie Eisenhower E22102 entity
Predicate fashionSignature P14486 FINISHED
Object pink dresses and accessories 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: pink dresses and accessories | Statement: [Mamie Eisenhower, fashionSignature, pink dresses and accessories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fashionSignature
Context triple: [Mamie Eisenhower, fashionSignature, pink dresses and accessories]
  • A. signatureStyle
    Indicates the characteristic way in which an entity typically signs its name or marks documents, distinguishing its unique signing pattern or format.
  • B. hasSignatureVisualStyle chosen
    Indicates that an entity is characterized by a distinctive and recognizable visual style that sets it apart from others.
  • C. styleTendsTo
    Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
  • D. signatureTheme
    Indicates that something serves as a distinctive, defining theme strongly associated with a particular entity or context.
  • E. brandingFeature
    Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
  • 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7e28df08190b5be7794442a6f21 completed March 1, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69a4b72619cc8190932fdfa0c74dc055 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.