Triple

T33961570
Position Surface form Disambiguated ID Type / Status
Subject Hayne–Webster debate E870728 entity
Predicate politicalAlignmentOfHayne P70539 FINISHED
Object states’ rights 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: states’ rights | Statement: [Hayne–Webster debate, politicalAlignmentOfHayne, states’ rights]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalAlignmentOfHayne
Context triple: [Hayne–Webster debate, politicalAlignmentOfHayne, states’ rights]
  • A. holderPoliticalAffiliation
    Indicates that a person or officeholder is associated with or belongs to a particular political party or ideology.
  • B. officeHolderPoliticalAlignmentWithCongress
    Indicates that an office holder’s political stance or party alignment is consistent with, opposed to, or otherwise related to the prevailing political alignment of the relevant congress or legislative body.
  • C. partyAlignment chosen
    Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
  • D. hasAuthorPoliticalAlignment
    Indicates that an author is associated with or identified as having a particular political alignment or ideology.
  • E. protagonistPoliticalAffiliation
    Indicates the political party, ideology, or movement with which the protagonist is aligned or identified.
  • 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_69f3499ce8e88190b66e1d49ad8c7037 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe6739d4dc8190ae7505c089bbac29 completed May 8, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69fe6541dffc81909c66a61ba69f38fc completed May 8, 2026, 10:35 p.m.
Created at: May 1, 2026, 1:50 a.m.