Triple

T27779098
Position Surface form Disambiguated ID Type / Status
Subject Mike Parson E699282 entity
Predicate partyAffiliationStart P171772 FINISHED
Object Republican Party (United States) 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: Republican Party (United States) | Statement: [Mike Parson, partyAffiliationStart, Republican Party (United States)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyAffiliationStart
Context triple: [Mike Parson, partyAffiliationStart, Republican Party (United States)]
  • A. partyAffiliationOrStatus
    Indicates the political party with which an entity is associated or the entity’s current standing or role within that party.
  • B. partnerPoliticalAffiliation
    Indicates that one entity has a political affiliation that is associated with, or shared by, its partner entity.
  • C. holderPoliticalAffiliation
    Indicates that a person or officeholder is associated with or belongs to a particular political party or ideology.
  • D. registeredAsPoliticalParty
    Indicates that an entity is officially recorded and recognized as a political party by the relevant authority or registry.
  • E. party affiliation during congressional service
    Indicates the political party with which an individual was formally aligned while serving in a congressional office.
  • F. None of above. chosen

Provenance (4 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
PDg Predicate description generation batch_69f6a28b8ea881908733485374771c51 completed May 3, 2026, 1:19 a.m.
Created at: April 27, 2026, 5:08 p.m.