Triple

T13605338
Position Surface form Disambiguated ID Type / Status
Subject His Accidency E325046 entity
Predicate stanceExpressed P3406 FINISHED
Object disapproval of Tyler’s claim to full presidential powers 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: disapproval of Tyler’s claim to full presidential powers | Statement: [His Accidency, stanceExpressed, disapproval of Tyler’s claim to full presidential powers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stanceExpressed
Context triple: [His Accidency, stanceExpressed, disapproval of Tyler’s claim to full presidential powers]
  • A. stance chosen
    Indicates the position, attitude, or viewpoint one entity holds toward another entity, issue, or proposition.
  • B. expression
    Indicates that one entity is a linguistic, mathematical, or symbolic representation or manifestation of another entity.
  • C. expresses
    Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
  • D. oftenExpressedAs
    Indicates that one thing is frequently represented, stated, or manifested in the form of another.
  • E. speechAct
    Indicates that one entity performs a communicative action (such as stating, asking, commanding, or promising) directed toward another entity or audience.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.