Triple

T4870626
Position Surface form Disambiguated ID Type / Status
Subject CNN en Español E109076 entity
Predicate sisterChannel P5818 FINISHED
Object CNN International E10223 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: CNN International | Statement: [CNN en Español, sisterChannel, CNN International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN International
Context triple: [CNN en Español, sisterChannel, CNN International]
  • A. CNN2
    CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
  • B. BBC World News
    BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
  • C. News International
    News International was a major British newspaper publishing company and subsidiary of Rupert Murdoch’s News Corporation, known for owning titles such as The Times, The Sunday Times, and the now-defunct News of the World.
  • D. CNN chosen
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • E. ESPN News
    ESPN News is a 24-hour American sports news television channel providing continuous coverage, highlights, and analysis of major sporting events.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9c77b88190b3e6884c9752ebbb completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ee93c08190b3c5b130f82f4bba completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.