Triple

T37078182
Position Surface form Disambiguated ID Type / Status
Subject Hunter Holmes McGuire statue E917768 entity
Predicate subjectHasAffiliation P80446 FINISHED
Object Confederate States of America NE NERFINISHED

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: Confederate States of America | Statement: [Hunter Holmes McGuire statue, subjectHasAffiliation, Confederate States of America]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectHasAffiliation
Context triple: [Hunter Holmes McGuire statue, subjectHasAffiliation, Confederate States of America]
  • A. subjectAffiliation chosen
    Indicates that a subject is formally associated or connected with a particular organization, group, or institution.
  • B. hasAcademicAffiliation
    Indicates that an entity is formally associated with an academic institution, such as through employment, enrollment, or official collaboration.
  • C. hasAffiliationType
    Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
  • D. hasGlobalAffiliation
    Indicates that an entity is formally connected or associated with a global or international organization, network, or body.
  • E. hasAffiliationModel
    Indicates that one entity uses, follows, or is governed by a particular affiliation model in its relationships or organizational structure.
  • 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_69f76e9771e08190a690834e3cd20654 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fdd2be648c8190b60b3d1caeb44364 completed May 8, 2026, 12:10 p.m.
PD Predicate disambiguation batch_69fdd14a5c708190a6f95ec61f4fc28f completed May 8, 2026, 12:04 p.m.
Created at: May 3, 2026, 4:14 p.m.