Triple

T10894520
Position Surface form Disambiguated ID Type / Status
Subject Revolutionary Suicide E257271 entity
Predicate contrastsWithConcept P21665 FINISHED
Object reactionary suicide 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: reactionary suicide | Statement: [Revolutionary Suicide, contrastsWithConcept, reactionary suicide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastsWithConcept
Context triple: [Revolutionary Suicide, contrastsWithConcept, reactionary suicide]
  • A. oftenContrastedWith
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • B. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • C. traditionalContrastWith
    Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
  • D. hasConceptualOpposite chosen
    Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
  • E. dramaticContrastWith
    Indicates that one entity is presented in a way that sharply emphasizes differences in tone, style, or impact when compared with 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d0153408190bcba2d9b03d78804 completed April 9, 2026, 8:02 a.m.
PD Predicate disambiguation batch_69d70d3943c881908895397eccc3e415 completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:21 p.m.