Triple

T14761810
Position Surface form Disambiguated ID Type / Status
Subject Dinah Barkley E346880 entity
Predicate centralThemeOfStory P6627 FINISHED
Object professional and personal dynamics in marriage 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: professional and personal dynamics in marriage | Statement: [Dinah Barkley, centralThemeOfStory, professional and personal dynamics in marriage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: centralThemeOfStory
Context triple: [Dinah Barkley, centralThemeOfStory, professional and personal dynamics in marriage]
  • A. coreNarrative
    Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
  • B. hasCentralTheme chosen
    Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
  • C. centralThemeContext
    Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
  • D. centralThemeConnection
    Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
  • E. narrativeMotif
    Indicates a recurring thematic element, pattern, or situation that appears across one or more narratives and helps structure or convey their underlying meanings.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.