Triple

T21811751
Position Surface form Disambiguated ID Type / Status
Subject Fados E538490 entity
Predicate mainSubject P3 FINISHED
Object fado 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: fado | Statement: [Fados, mainSubject, fado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: fado
Context triple: [Fados, mainSubject, fado]
  • A. Fado chosen
    Fado is a traditional Portuguese music genre known for its melancholic melodies and expressive, soulful vocals often accompanied by classical and Portuguese guitars.
  • B. Fado de Coimbra
    Fado de Coimbra is a distinctive, male-sung style of Portuguese fado associated with the university city of Coimbra, characterized by academic traditions and accompaniment on the Portuguese guitar.
  • C. Lisbon fado
    Lisbon fado is the most widely known urban style of Portuguese fado music, characterized by emotionally intense, melancholic songs typically performed in Lisbon’s traditional taverns and fado houses.
  • D. Fados
    Fados is a musical documentary film by Spanish director Carlos Saura that explores the Portuguese fado tradition through performances, dance, and archival footage.
  • E. Fado Alexandrino
    Fado Alexandrino is a novel by Portuguese writer António Lobo Antunes that portrays the lives of former soldiers struggling to adapt to post-revolutionary Portugal.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc6cdf88190a31129acdc3bcec8 completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:53 p.m.