Triple

T29913669
Position Surface form Disambiguated ID Type / Status
Subject attempted to vote for John Kasich for president in 2016 E759734 entity
Predicate electorName P194990 FINISHED
Object Michael Baca 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: Michael Baca | Statement: [attempted to vote for John Kasich for president in 2016, electorName, Michael Baca]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electorName
Context triple: [attempted to vote for John Kasich for president in 2016, electorName, Michael Baca]
  • A. elector
    Indicates a relationship where one entity has the right or role to choose or vote for another entity in an election or selection process.
  • B. electoralNameUsedFor
    Indicates that a particular electoral name or designation is used to refer to or identify a given entity in an electoral context.
  • C. electedCandidate
    Indicates that a particular person has been chosen as the winner in an election for a given position or office.
  • D. electorReplacement
    Indicates that one elector is designated to replace or succeed another elector in fulfilling their role or duties.
  • E. electoralOfficeHolder
    Indicates that one entity holds or occupies a particular elected office or position in a political or electoral system.
  • 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_69f2246189fc8190996b63ee1f9a2374 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fd974d75e08190af46b1d608769f3b completed May 8, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69fd94ff792c8190bedf4a639d3da809 completed May 8, 2026, 7:47 a.m.
PDg Predicate description generation batch_69fd974c0e8481909fdd312897c647b3 completed May 8, 2026, 7:57 a.m.
Created at: April 29, 2026, 6:11 p.m.