Triple

T35822111
Position Surface form Disambiguated ID Type / Status
Subject John Hospers E1035531 entity
Predicate receivedElectoralVote P107366 FINISHED
Object yes 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: yes | Statement: [John Hospers, receivedElectoralVote, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivedElectoralVote
Context triple: [John Hospers, receivedElectoralVote, yes]
  • A. electoralVotesReceived
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • B. resolvedElectoralVotesFrom
    Indicates that a set of electoral votes has been officially determined or allocated based on the outcome associated with a particular source (such as a state, district, or election event).
  • C. heldElectoralVoteFor
    Indicates that an elector or jurisdiction cast its official electoral vote in favor of a particular candidate in an election.
  • D. hasElectoralVoteIn chosen
    Indicates that an entity possesses or receives electoral votes within a specified election or jurisdiction.
  • E. electoralVoteFor
    Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
  • 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_69f76e185ffc8190880b3cdf51decd38 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fba2877b248190a974eb092243c0c4 completed May 6, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69fb8d06a1b48190a937aa410d159dfa completed May 6, 2026, 6:48 p.m.
Created at: May 3, 2026, 4:06 p.m.