Triple

T8280345
Position Surface form Disambiguated ID Type / Status
Subject Bethine Church E193653 entity
Predicate partnerInOfficeOf P26554 FINISHED
Object United States Senate career of Frank Church 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: United States Senate career of Frank Church | Statement: [Bethine Church, partnerInOfficeOf, United States Senate career of Frank Church]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partnerInOfficeOf
Context triple: [Bethine Church, partnerInOfficeOf, United States Senate career of Frank Church]
  • A. partnerInMinistryWith
    Indicates a collaborative relationship in which two or more entities work together in religious or spiritual ministry.
  • B. partnerInGovernmentWith
    Indicates that two entities share a formal partnership or coalition role within the same governmental structure or administration.
  • C. partnerInOrganizationWith
    Indicates that two entities are associated as partners within the same organization or organizational context.
  • D. spouseOffice chosen
    Indicates that one entity holds an office or position that is associated with, or held by, the spouse of another entity.
  • E. representsInOffice
    Indicates that one entity serves as an official representative of another entity within a specific office, position, or institutional role.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ee66e48190af7058b14f3daac9 completed March 31, 2026, 7:38 a.m.
PD Predicate disambiguation batch_69cb70ad9fc081908741f8c4a4141edf completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:51 p.m.