Triple

T29667440
Position Surface form Disambiguated ID Type / Status
Subject Strom Thurmond statue E750566 entity
Predicate hasSubjectPersonRole P192208 FINISHED
Object segregationist politician 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: segregationist politician | Statement: [Strom Thurmond statue, hasSubjectPersonRole, segregationist politician]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubjectPersonRole
Context triple: [Strom Thurmond statue, hasSubjectPersonRole, segregationist politician]
  • A. hasSubjectRoleIn chosen
    Indicates that an entity serves in a specific subject role within a particular context, situation, or relationship.
  • B. hasHumanSubject
    Indicates that an entity serves as the human participant or subject involved in an action, event, or relation.
  • C. hasOrganizationalRole
    Indicates that an entity holds a specific role, position, or function within an organization.
  • D. hasSubjectPosition
    Indicates that an entity occupies or is assigned to a particular subject role or position within a structure, context, or organization.
  • E. appliedToPersonRole
    Indicates that something (such as a rule, condition, or action) is directed toward or relevant for a person specifically in their defined role or capacity.
  • 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_69f0d62418a08190a401b127adf9f8a6 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fdbc5ef46c8190bbcfb9798f4615b7 completed May 8, 2026, 10:35 a.m.
PD Predicate disambiguation batch_69fdbb270338819082ce3f73903e884f completed May 8, 2026, 10:29 a.m.
Created at: April 28, 2026, 7:02 p.m.