Triple

T20493259
Position Surface form Disambiguated ID Type / Status
Subject Caer en tentación E502801 entity
Predicate developer P73 FINISHED
Object Televisa NE NERFINISHED

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: Televisa | Statement: [Caer en tentación, developer, Televisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Televisa
Context triple: [Caer en tentación, developer, Televisa]
  • A. Grupo Televisa chosen
    Grupo Televisa is a major Mexican multimedia mass media company and one of the largest producers of Spanish-language content in the world.
  • B. TelevisaUnivision
    TelevisaUnivision is a leading Spanish-language media company formed by the merger of Televisa and Univision, operating major television networks, streaming platforms, and content production across the U.S. and Latin America.
  • C. TV Azteca
    TV Azteca is one of Mexico’s largest television networks, known for producing and broadcasting telenovelas, news, and entertainment programming.
  • D. Telemundo Station Group
    Telemundo Station Group is the division of NBCUniversal that owns and operates the Telemundo network’s local television stations in the United States.
  • E. Univision
    Univision is a major American Spanish-language television network known for broadcasting a wide range of entertainment, news, and cultural programming to Hispanic audiences in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbb3bd081909351525208b41bba completed April 20, 2026, 9:38 p.m.
Created at: April 16, 2026, 11:35 a.m.