Triple

T1056330
Position Surface form Disambiguated ID Type / Status
Subject HLN E22803 entity
Predicate sisterChannel P5818 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: [HLN, sisterChannel, CNN en Español]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN en Español
Context triple: [HLN, sisterChannel, 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
    CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
  • C. Radio Martí
    Radio Martí is a U.S. government–funded Spanish-language broadcast service that transmits news and information to audiences in Cuba.
  • D. ESPN Deportes
    ESPN Deportes is a Spanish-language sports television network and media brand owned by ESPN that focuses on providing sports news, live events, and analysis for Spanish-speaking audiences.
  • E. Telemundo
    Telemundo is a major American Spanish-language television network known for its telenovelas, news, sports, and entertainment programming aimed primarily at Hispanic and Latino audiences.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8d9102c819090af78cae50f0ff2 completed March 1, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bd110ac8190b66163de42bd3034 completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.