Triple

T6664837
Position Surface form Disambiguated ID Type / Status
Subject Anderson Cooper 360° E151572 entity
Predicate network P2637 FINISHED
Object CNN en Español E109076 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 en Español | Statement: [Anderson Cooper 360°, network, CNN en Español]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN en Español
Context triple: [Anderson Cooper 360°, network, CNN en Español]
  • A. CNN en Español chosen
    CNN en Español is a Spanish-language news television channel providing 24-hour news coverage and analysis for audiences across Latin America, the United States, and other Spanish-speaking markets.
  • B. CNN+ (Spain)
    CNN+ (Spain) was a Spanish 24-hour cable news television channel operated by Sogecable in partnership with CNN that broadcast national and international news until its closure in 2010.
  • C. CNN
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • D. CNN2
    CNN2 was the original name of HLN, a U.S. cable news channel that focused on headline news and brief, continuously updated reports.
  • E. RT en Español
    RT en Español is the Spanish-language international news channel of the Russian state-funded network RT, offering news and commentary tailored to Spanish-speaking audiences worldwide.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09bc69c8190addb8075415ec6d9 completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0c1fc081909e37296958a04572 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:02 p.m.