Triple

T2903020
Position Surface form Disambiguated ID Type / Status
Subject V. (novel) E62693 entity
Predicate dealsWithTheme P6627 FINISHED
Object disintegration of modern society 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: disintegration of modern society | Statement: [V. (novel), dealsWithTheme, disintegration of modern society]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dealsWithTheme
Context triple: [V. (novel), dealsWithTheme, disintegration of modern society]
  • A. followsInTheme
    Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
  • B. themeFor
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • C. themedAs
    Indicates that something is characterized, styled, or organized according to a particular theme or motif.
  • D. containsThemeArea
    Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
  • E. hasCentralTheme chosen
    Indicates that one entity serves as the primary or dominant theme or subject matter of 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b3d20881908cd4f1b465b504af completed March 7, 2026, 8:24 a.m.
PD Predicate disambiguation batch_69abdd19bac881908f047d616aca8438 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 10:10 p.m.