Triple

T31446314
Position Surface form Disambiguated ID Type / Status
Subject 2010 United States Senate special election in New York E802195 entity
Predicate afterElectionOfficeHolder P173672 FINISHED
Object Kirsten Gillibrand 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: Kirsten Gillibrand | Statement: [2010 United States Senate special election in New York, afterElectionOfficeHolder, Kirsten Gillibrand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: afterElectionOfficeHolder
Context triple: [2010 United States Senate special election in New York, afterElectionOfficeHolder, Kirsten Gillibrand]
  • A. afterElectionSenator
    Indicates that one person holds the position of senator following a specified election.
  • B. officeHolderAfterElectionPosition chosen
    Indicates that a person holds a specific office or position as a result of a particular election.
  • C. electoralOfficeHolder
    Indicates that one entity holds or occupies a particular elected office or position in a political or electoral system.
  • D. incumbentAfterElection
    Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
  • E. successorOfficeHolder
    Indicates that one office holder directly follows another in occupying the same official position.
  • 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_69f348c5a6bc819092a557e95438976f completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6df450014819099d118e5c2d697fa completed May 3, 2026, 5:38 a.m.
PD Predicate disambiguation batch_69f6de07836481908785cde9c511920b completed May 3, 2026, 5:32 a.m.
Created at: April 30, 2026, 9:09 p.m.