Triple

T2646485
Position Surface form Disambiguated ID Type / Status
Subject UniMás E53795 entity
Predicate contentSource P409 FINISHED
Object Televisa E28383 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: Televisa | Statement: [UniMás, contentSource, Televisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Televisa
Context triple: [UniMás, contentSource, 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. 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.
  • D. 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.
  • E. Xoco
    Xoco is a historic neighborhood in Mexico City’s Benito Juárez borough known for its mix of traditional streets, modern developments, and cultural venues.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf49dc7c8190bebc1c75f6d00ef9 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:53 p.m.