Triple

T4105913
Position Surface form Disambiguated ID Type / Status
Subject Star India E88449 entity
Predicate ownsBrand P1500 FINISHED
Object Star Plus E86241 NE 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: Star Plus | Statement: [Star India, ownsBrand, Star Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star Plus
Context triple: [Star India, ownsBrand, Star Plus]
  • A. Star TV chosen
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • B. Pluss
    Pluss is a music producer known for crafting beats and collaborating with various artists in contemporary hip-hop and related genres.
  • C. Super Star
    Super Star is a powerful, temporary invincibility-granting item in the Super Mario video game series that lets characters defeat enemies by simply touching them.
  • D. Virgin Plus
    Virgin Plus is a Canadian mobile virtual network operator and telecommunications brand offering wireless, internet, and related services, primarily targeting value-conscious consumers.
  • E. Sansad TV
    Sansad TV is an Indian parliamentary television channel that provides live coverage and analysis of proceedings from the country's legislative bodies along with related public affairs programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019af25481909e9f1d171356f3e8 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b7f88948190b87242e706a488c0 completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.