Triple

T35822112
Position Surface form Disambiguated ID Type / Status
Subject John Hospers E1035531 entity
Predicate electoralVoteFrom P27351 FINISHED
Object Roger MacBride 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: Roger MacBride | Statement: [John Hospers, electoralVoteFrom, Roger MacBride]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralVoteFrom
Context triple: [John Hospers, electoralVoteFrom, Roger MacBride]
  • A. electoralVoteFor
    Indicates that a specified number of electoral votes are allocated or cast in favor of a particular candidate or option in an election.
  • 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. electoralVotesReceived chosen
    Indicates that one entity received a specified number of electoral votes in an election from another entity or jurisdiction.
  • D. hasElectoralVotes
    Indicates that a political entity (such as a state or district) possesses a specified number of votes in an electoral system used to choose an officeholder.
  • E. electoralVotesWinner
    Indicates that the subject is the candidate who received the highest number of electoral votes in a given 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_69ff5b233e9c8190adc06cca0758986b completed May 9, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69ff5a5682108190a006b23c4fcdcc7c completed May 9, 2026, 4:01 p.m.
Created at: May 3, 2026, 4:06 p.m.