Triple

T6751892
Position Surface form Disambiguated ID Type / Status
Subject The Visions of Simone Machard E154358 entity
Predicate intendedEffectOnAudience P53532 FINISHED
Object critical reflection on war and collaboration 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: critical reflection on war and collaboration | Statement: [The Visions of Simone Machard, intendedEffectOnAudience, critical reflection on war and collaboration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: intendedEffectOnAudience
Context triple: [The Visions of Simone Machard, intendedEffectOnAudience, critical reflection on war and collaboration]
  • A. hasIntendedEffect
    Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
  • B. encodingImpact
    Indicates how one encoding or encoding choice affects, modifies, or constrains another process, representation, or outcome.
  • C. effectOnOthers
    Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
  • D. relatesToAudience
    Indicates a general relationship or relevance between something and a particular audience or group of recipients.
  • E. effectOnViewers chosen
    Indicates the impact or influence that something has on those who observe or experience it.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09227108190b253b91967831a85 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:11 p.m.