Triple

T26150370
Position Surface form Disambiguated ID Type / Status
Subject Power Star E659796 entity
Predicate associatedWithPoliticalCareerOf P173201 FINISHED
Object Pawan Kalyan 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: Pawan Kalyan | Statement: [Power Star, associatedWithPoliticalCareerOf, Pawan Kalyan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithPoliticalCareerOf
Context triple: [Power Star, associatedWithPoliticalCareerOf, Pawan Kalyan]
  • A. hasPoliticalPositionOn
    Indicates that an entity holds or expresses a specific stance, view, or opinion regarding a political issue, policy, or topic.
  • B. builtUnderPoliticalOffice
    Indicates that the construction or creation of something occurred during the tenure of a particular political office or officeholder.
  • C. associatedWithPoliticalPartyOfNameBearer
    Indicates that an entity is connected or affiliated with the political party to which the referenced name bearer belongs.
  • D. hasPoliticalFigure chosen
    Indicates a relationship where an entity is associated with or includes a specific political figure in a relevant role or context.
  • E. hasPoliticalRole
    Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
  • 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_69ee5bc496a88190af7deb7ab5e081de completed April 26, 2026, 6:39 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
Created at: April 26, 2026, 8:24 p.m.