Triple

T16994025
Position Surface form Disambiguated ID Type / Status
Subject Star Pravah E412267 entity
Predicate hasSisterChannel P6991 FINISHED
Object Star Plus E1247230 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 Pravah, hasSisterChannel, Star Plus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star Plus
Context triple: [Star Pravah, hasSisterChannel, Star Plus]
  • A. Star Plus chosen
    Star Plus is a leading Indian Hindi-language general entertainment television channel known for its popular drama series and family-oriented programming.
  • B. Star TV
    Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
  • C. Vijay TV
    Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
  • D. Star Channel
    Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
  • E. Tata Sky
    Tata Sky is an Indian direct-to-home (DTH) television service provider offering satellite TV and related digital entertainment services to households across India.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d28535788190bdfcb6201a9024b5 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ece8730819084f4bbbd7579430c completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:32 a.m.