Triple

T18071278
Position Surface form Disambiguated ID Type / Status
Subject Pall Mall Gazette E432434 entity
Predicate politicalOrientationUnderEditor P7253 FINISHED
Object Liberal under John Morley 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: Liberal under John Morley | Statement: [Pall Mall Gazette, politicalOrientationUnderEditor, Liberal under John Morley]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalOrientationUnderEditor
Context triple: [Pall Mall Gazette, politicalOrientationUnderEditor, Liberal under John Morley]
  • A. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • B. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • C. politicalAttitude
    Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
  • D. traditionalPoliticalAlignment
    Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
  • E. politicalSpectrumPosition chosen
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccee2fa4819098a61f7fdb8f1853 completed April 19, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e3f90c652481908133a73106d78919 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:26 a.m.