Triple

T17379365
Position Surface form Disambiguated ID Type / Status
Subject Gaslighter E422524 entity
Predicate containsPoliticalContent P109963 FINISHED
Object true 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: true | Statement: [Gaslighter, containsPoliticalContent, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsPoliticalContent
Context triple: [Gaslighter, containsPoliticalContent, true]
  • A. politicallySensitive
    Indicates that an entity, action, or topic is associated with political issues, controversies, or power structures such that it may require special caution, regulation, or discretion.
  • B. hasPoliticalComponent chosen
    Indicates that something includes, involves, or is influenced by political factors, interests, or considerations.
  • C. politicallyIn
    Indicates that one entity is located within, belongs to, or falls under the political jurisdiction or authority of another entity.
  • D. hasPoliticalCoverage
    Indicates that one entity provides or includes reporting, analysis, or information about the political activities, positions, or affairs of another entity.
  • E. reflectsPoliticalViewsOf
    Indicates that one entity’s opinions, statements, or representations express or mirror the political views held by 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a840cd08190af3385388afb8c8f completed April 19, 2026, 2:14 a.m.
PD Predicate disambiguation batch_69e3b02ac8688190a7182f1b2151d721 completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:45 a.m.