Triple

T5709685
Position Surface form Disambiguated ID Type / Status
Subject Sister Mister E125872 entity
Predicate workPoliticalOrientation P7253 FINISHED
Object pro-labor 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: pro-labor | Statement: [Sister Mister, workPoliticalOrientation, pro-labor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: workPoliticalOrientation
Context triple: [Sister Mister, workPoliticalOrientation, pro-labor]
  • A. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • B. traditionalPoliticalAlignment
    Indicates how closely an entity’s political views or affiliations align with established, historically dominant, or customary political positions within a given context.
  • C. politicalSpectrumPosition chosen
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • D. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • E. politicalIdentity
    Indicates the political affiliation, ideology, or stance that characterizes an entity’s position within a political spectrum or system.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248c3dac8190824fca9ddde89665 completed March 22, 2026, 5:19 p.m.
PD Predicate disambiguation batch_69c021c2d8bc8190b947c7d1f423d2f3 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:46 p.m.