Triple

T10647937
Position Surface form Disambiguated ID Type / Status
Subject International Emmy Award for Best Telenovela E250884 entity
Predicate notableWinner P2766 FINISHED
Object Ouro Verde E748987 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: Ouro Verde | Statement: [International Emmy Award for Best Telenovela, notableWinner, Ouro Verde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ouro Verde
Context triple: [International Emmy Award for Best Telenovela, notableWinner, Ouro Verde]
  • A. Ouro Verde chosen
    Ouro Verde is a Portuguese telenovela known for its dramatic storyline involving revenge, family secrets, and corporate intrigue.
  • B. Panarima
    Panarima is a musical track featured on the album "Legend of the Sun Virgin."
  • C. Parangolé
    Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
  • D. Mauá
    Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
  • E. Caieiras
    Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
Created at: April 8, 2026, 9:05 p.m.