Triple

T22963691
Position Surface form Disambiguated ID Type / Status
Subject Alanzinho E570975 entity
Predicate nickname P55 FINISHED
Object Alanzinho 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: Alanzinho | Statement: [Alanzinho, nickname, Alanzinho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alanzinho
Context triple: [Alanzinho, nickname, Alanzinho]
  • A. Alanzinho chosen
    Alanzinho is a Brazilian attacking midfielder known for his technical skill and creativity, who made a name for himself in European football, particularly in Norway and Turkey.
  • B. Mazagão
    Mazagão is the former Portuguese name for the Moroccan coastal city now known as El Jadida, historically significant as a fortified colony.
  • C. Praia Redonda
    Praia Redonda is a seaside beach in the coastal city of Póvoa de Varzim in northern Portugal, known for its Atlantic shoreline and urban waterfront setting.
  • D. Praia Branca
    Praia Branca is a relatively secluded, scenic beach near Guarujá on the coast of São Paulo, Brazil, known for its natural beauty and laid-back atmosphere.
  • E. Praia Branca
    Praia Branca is a small coastal settlement on the island of São Nicolau in Cape Verde, known for its quiet beaches and traditional fishing community.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f66fbc8190a4a7b73d17537132 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.