Triple

T2604474
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles Aztecs E58624 entity
Predicate owner P347 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: [Los Angeles Aztecs, owner, Televisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Televisa
Context triple: [Los Angeles Aztecs, owner, 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. 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.
  • C. 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.
  • D. 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.
  • E. Granada Television
    Granada Television was a major British television production and broadcasting company, best known for creating influential programs such as Coronation Street and for serving the ITV network in the north of England.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8340eac819084eb1fe6f0ac0aa0 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83dac58c81908be66bf40c810e3c completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.