Triple

T15274187
Position Surface form Disambiguated ID Type / Status
Subject Love Me, I'm a Liberal E365093 entity
Predicate politicalOrientationCritiqued P99294 FINISHED
Object liberalism in the United States 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: liberalism in the United States | Statement: [Love Me, I'm a Liberal, politicalOrientationCritiqued, liberalism in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalOrientationCritiqued
Context triple: [Love Me, I'm a Liberal, politicalOrientationCritiqued, liberalism in the United States]
  • A. politicalSystemCritiqued chosen
    Indicates that a political system is the target of criticism, evaluation, or negative commentary by an entity.
  • B. politicalAttitude
    Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
  • C. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • D. opposingIdeology
    Indicates that two entities hold conflicting or mutually incompatible belief systems, doctrines, or ideological positions.
  • E. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00952731c8190bf6a5e6e10c95b94 completed April 15, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69deca90739081909bd1b797cdb8af2b completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.