Triple

T32305318
Position Surface form Disambiguated ID Type / Status
Subject Gespräche mit Hitler E825346 entity
Predicate politicalOrientationOfAuthor P78376 FINISHED
Object conservative anti-Nazi exile 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: conservative anti-Nazi exile | Statement: [Gespräche mit Hitler, politicalOrientationOfAuthor, conservative anti-Nazi exile]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalOrientationOfAuthor
Context triple: [Gespräche mit Hitler, politicalOrientationOfAuthor, conservative anti-Nazi exile]
  • A. hasAuthorPoliticalAlignment chosen
    Indicates that an author is associated with or identified as having a particular political alignment or ideology.
  • B. politicalOrientationOfParty
    Indicates the political ideology or orientation that characterizes a political party.
  • C. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • D. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • E. politicalSpectrumPosition
    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_69f349115304819084ee91d345b6c8aa completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdd5fba5048190b7d430ae2054a1fd completed May 8, 2026, 12:24 p.m.
PD Predicate disambiguation batch_69fdd35f76f88190a1854ea27132f9c7 completed May 8, 2026, 12:13 p.m.
Created at: May 1, 2026, 12:45 a.m.