Triple

T31732876
Position Surface form Disambiguated ID Type / Status
Subject 2017 United States Senate special election in Alabama E809907 entity
Predicate RepublicanPrimaryRunoffCandidates P41578 FINISHED
Object Roy Moore 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: Roy Moore | Statement: [2017 United States Senate special election in Alabama, RepublicanPrimaryRunoffCandidates, Roy Moore]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: RepublicanPrimaryRunoffCandidates
Context triple: [2017 United States Senate special election in Alabama, RepublicanPrimaryRunoffCandidates, Roy Moore]
  • A. RepublicanPrimaryCandidate
    Indicates that an individual is a candidate running in a Republican Party primary election for a particular office.
  • B. RepublicanNominationContenders chosen
    Indicates that the entities are candidates competing for the Republican Party’s nomination in a given election.
  • C. mainPresidentialRunoffCandidates
    Indicates that the related entities are the primary candidates participating in a presidential election runoff.
  • D. hadRepublicanPrimary
    Indicates that a Republican Party primary election was held for a given office, race, or jurisdiction.
  • E. ranPresidentialCandidate
    Indicates that the subject has been a candidate in a presidential 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_69f348e0e4908190a884582eca646fb7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ab209e18819090205ebc68a0dfbf completed May 3, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69f6aa20a1588190a53533fc9764efb2 completed May 3, 2026, 1:51 a.m.
Created at: April 30, 2026, 11:22 p.m.