Triple

T22292636
Position Surface form Disambiguated ID Type / Status
Subject Zee Studios E551033 entity
Predicate associatedWith P37 FINISHED
Object Zee TV 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: Zee TV | Statement: [Zee Studios, associatedWith, Zee TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zee TV
Context triple: [Zee Studios, associatedWith, Zee TV]
  • A. Zee Network chosen
    Zee Network is a major Indian television broadcasting network known for its wide range of entertainment, news, and regional language channels.
  • B. Vijay TV
    Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
  • C. 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.
  • D. Mu.ZEE
    Mu.ZEE is a modern and contemporary art museum in Ostend, Belgium, renowned for its extensive collection of Belgian art from the late 19th century to today.
  • E. Sun TV Network
    Sun TV Network is a major Indian media conglomerate based in South India, best known for its extensive portfolio of television channels, film production and distribution, and other entertainment ventures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560d1ec48190ab86f158c94b677b completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.