Triple

T30597038
Position Surface form Disambiguated ID Type / Status
Subject Lord of Chaos E778814 entity
Predicate denotesAlignment P39832 FINISHED
Object malevolent 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: malevolent | Statement: [Lord of Chaos, denotesAlignment, malevolent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: denotesAlignment
Context triple: [Lord of Chaos, denotesAlignment, malevolent]
  • A. eraAlignment
    Indicates that two entities are associated with, or correspond to, the same historical or temporal era.
  • B. hasAlignment chosen
    Indicates that one entity shares or exhibits a particular orientation, stance, or compatibility in relation to another entity or standard.
  • C. impliesAlignment
    Indicates that the presence or truth of one entity, condition, or statement suggests or entails that another entity, condition, or statement is aligned or in agreement with it.
  • D. requiresAlignment
    Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
  • E. basedOnAlignmentOf
    Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
  • 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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68a16debc8190a12f5f65ced055d7 completed May 2, 2026, 11:34 p.m.
PD Predicate disambiguation batch_69f6860def1c81909d79e1f088c4b5e5 completed May 2, 2026, 11:17 p.m.
Created at: April 29, 2026, 8:24 p.m.