Triple

T16994300
Position Surface form Disambiguated ID Type / Status
Subject BabyTV E412273 entity
Predicate originalNetwork P2594 FINISHED
Object BabyTV (Israel) E412273 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: BabyTV (Israel) | Statement: [BabyTV, originalNetwork, BabyTV (Israel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BabyTV (Israel)
Context triple: [BabyTV, originalNetwork, BabyTV (Israel)]
  • A. BabyTV chosen
    BabyTV is an international television channel dedicated to educational and entertaining programming for babies, toddlers, and preschool-aged children.
  • B. Wasafi TV
    Wasafi TV is a Tanzanian entertainment television channel closely associated with musician and entrepreneur Diamond Platnumz, known for music, lifestyle, and pop culture programming.
  • C. Cozi TV
    Cozi TV is an American digital multicast television network specializing in classic television series and nostalgic programming.
  • D. İctimai Television
    İctimai Television is Azerbaijan’s national public broadcaster, known internationally for organizing and airing major events such as the Eurovision Song Contest.
  • E. Qubo
    Qubo was a U.S. children's television network and programming brand known for airing educational and family-friendly animated and live-action series.
  • 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_69e3d285f35881908c32b2f27ba7f0ac completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc16fbdc819095411a056b9942c3 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.