Triple

T21233019
Position Surface form Disambiguated ID Type / Status
Subject Muhteşem Yüzyıl E523271 entity
Predicate originalNetwork P2594 FINISHED
Object Star 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: Star TV | Statement: [Muhteşem Yüzyıl, originalNetwork, Star TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star TV
Context triple: [Muhteşem Yüzyıl, originalNetwork, Star TV]
  • 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. Sky TV
    Sky TV is a British subscription television service offering a wide range of satellite and streaming channels, on-demand content, and original programming.
  • C. Orange TV
    Orange TV is a subscription-based television platform operated by the telecommunications company Orange, offering a range of live channels and on-demand content.
  • D. Star Channel
    Star Channel is a Greek free-to-air television network known for broadcasting popular entertainment programs, series, and reality shows.
  • E. Vijay TV
    Vijay TV is a popular Tamil-language television channel in India known for its entertainment shows, reality programs, and serials.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734b1524c8190a77eaf2fabd601c3 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.