Triple

T19250602
Position Surface form Disambiguated ID Type / Status
Subject Masha Dmitrichenko E481379 entity
Predicate narrativeThemeAssociatedWith P76867 FINISHED
Object wellness culture 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: wellness culture | Statement: [Masha Dmitrichenko, narrativeThemeAssociatedWith, wellness culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: narrativeThemeAssociatedWith
Context triple: [Masha Dmitrichenko, narrativeThemeAssociatedWith, wellness culture]
  • A. narrativeMotif
    Indicates a recurring thematic element, pattern, or situation that appears across one or more narratives and helps structure or convey their underlying meanings.
  • B. narrativeThemeInvolvement chosen
    Indicates that an entity participates in or contributes to a particular narrative theme within a story or discourse.
  • C. fictionalTheme
    Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
  • D. narrativeType
    Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
  • E. narrativeConcept
    Indicates a conceptual or thematic element within a narrative, such as an idea, motif, or organizing principle that shapes the story’s structure or meaning.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3001308190913e24343769be8d completed April 20, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69e4dd002d00819088b625056edfb74e completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:27 p.m.