Triple

T18574435
Position Surface form Disambiguated ID Type / Status
Subject O Globo E453949 entity
Predicate owner P347 FINISHED
Object Grupo Globo 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: Grupo Globo | Statement: [O Globo, owner, Grupo Globo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grupo Globo
Context triple: [O Globo, owner, Grupo Globo]
  • A. Rede Globo chosen
    Rede Globo is Brazil’s largest television network and one of the biggest media companies in Latin America, known for its telenovelas, news programming, and major entertainment broadcasts.
  • B. Grupo Televisa
    Grupo Televisa is a major Mexican multimedia mass media company and one of the largest producers of Spanish-language content in the world.
  • C. Mediaset
    Mediaset is a major Italian commercial television and media company, founded by Silvio Berlusconi and known for operating several popular TV channels and media platforms.
  • D. Grupo Editora Abril
    Grupo Editora Abril is one of Brazil’s largest and most influential media and magazine publishing companies, known for producing a wide range of popular print and digital titles.
  • E. 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.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c8c0608190afc99235006bf87f completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.