Triple

T4757728
Position Surface form Disambiguated ID Type / Status
Subject Inferno E105627 entity
Predicate circleSevenTheme P25955 FINISHED
Object violence 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: violence | Statement: [Inferno, circleSevenTheme, violence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: circleSevenTheme
Context triple: [Inferno, circleSevenTheme, violence]
  • A. themeFor chosen
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • B. themedAs
    Indicates that something is characterized, styled, or organized according to a particular theme or motif.
  • C. followsTheme
    Indicates that one entity adheres to, is guided by, or is structured according to the theme established by another entity.
  • D. theme
    Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
  • E. followsInTheme
    Indicates that one element continues or succeeds another while maintaining the same theme or thematic 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650ad0f88190844bfcb46b3071c2 completed March 20, 2026, 3:17 p.m.
PD Predicate disambiguation batch_69bd6225c9488190afee5bb3619d0365 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:20 p.m.