Triple

T8080031
Position Surface form Disambiguated ID Type / Status
Subject CNN Philippines E188590 entity
Predicate formerName P65 FINISHED
Object 9TV E710507 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: 9TV | Statement: [CNN Philippines, formerName, 9TV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 9TV
Context triple: [CNN Philippines, formerName, 9TV]
  • A. 9TV chosen
    9TV was a short-lived Philippine free-to-air television network that served as a transitional rebranding of Solar News Channel before it became CNN Philippines.
  • B. We TV
    We TV is an American cable television network known for its reality programming focused on relationships, family life, and pop culture.
  • C. 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.
  • D. Halk TV
    Halk TV is a Turkish television news channel known for its critical stance toward the government and focus on opposition and independent journalism.
  • E. ThisTV Network
    ThisTV Network is a U.S. digital multicast television network known for airing a wide selection of classic movies and television 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_69ca82b662e88190b9323daab8c28a21 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a504d48190ace96e814d99b182 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93eddef48190b5f499a5b52428c8 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:28 p.m.