Triple

T6143641
Position Surface form Disambiguated ID Type / Status
Subject Kevin Phillips E137021 entity
Predicate laterPoliticalStance P56202 FINISHED
Object critic of Republican Party 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: critic of Republican Party | Statement: [Kevin Phillips, laterPoliticalStance, critic of Republican Party]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterPoliticalStance
Context triple: [Kevin Phillips, laterPoliticalStance, critic of Republican Party]
  • A. hasPoliticalPositionOn chosen
    Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
  • B. politicalPositionAssociated
    Indicates that there is an association between an entity and a specific political position, role, or office.
  • C. politicalPositionOnElectoralPolitics
    Indicates a stance or viewpoint an entity holds regarding participation in, support for, or opposition to electoral political processes and institutions.
  • D. policyStance
    Indicates the position or viewpoint an entity holds regarding a specific policy or set of policies.
  • E. politicalSupporter
    Indicates that one entity supports, endorses, or aligns with the political views, actions, or position of another entity.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb50cb0819081ac64becf7aaf55 completed March 22, 2026, 9:18 p.m.
PD Predicate disambiguation batch_69c055f39e0881909ae56444b1b48929 completed March 22, 2026, 8:49 p.m.
Created at: March 22, 2026, 4:16 p.m.