Triple

T21233018
Position Surface form Disambiguated ID Type / Status
Subject Muhteşem Yüzyıl E523271 entity
Predicate originalNetwork P2594 FINISHED
Object Show 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: Show TV | Statement: [Muhteşem Yüzyıl, originalNetwork, Show TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Show TV
Context triple: [Muhteşem Yüzyıl, originalNetwork, Show TV]
  • A. Show TV chosen
    Show TV is a major Turkish national television channel known for broadcasting popular entertainment programs, series, and news.
  • B. TV
    TV is Apple’s media playback and streaming application for watching movies, TV shows, and other video content across Apple devices.
  • C. TV-am
    TV-am was a British breakfast television franchise that broadcast on ITV in the 1980s and early 1990s, known for pioneering morning TV programming in the UK.
  • D. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • E. TV Action
    TV Action was a British weekly comic magazine known for publishing adventure and science fiction strips based on popular television series.
  • 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.