Triple

T16757790
Position Surface form Disambiguated ID Type / Status
Subject Candler E407253 entity
Predicate associatedWithPolitics P14332 FINISHED
Object Georgia state politics 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: Georgia state politics | Statement: [Candler, associatedWithPolitics, Georgia state politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithPolitics
Context triple: [Candler, associatedWithPolitics, Georgia state politics]
  • A. associatedWithPoliticalAlignment
    Indicates a relationship where an entity is connected to, supports, or is characterized by a particular political ideology, party, or alignment.
  • B. associatedWithPoliticalModel
    Indicates that an entity is connected or linked to a particular political model, framework, or ideology in some relevant way.
  • C. participatesInPoliticsOf chosen
    Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
  • D. relatedPoliticalProgram
    Indicates that one political program is associated with, connected to, or contextually linked with another political program.
  • E. politicalPositionAssociated
    Indicates that there is an association between an entity and a specific political position, role, or office.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abea156c8190a5ee6d0028471810 completed April 18, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:21 a.m.