Triple

T15569624
Position Surface form Disambiguated ID Type / Status
Subject Carlos Paredes E374203 entity
Predicate notableWork P4 FINISHED
Object Guitarra Portuguesa E374200 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: Guitarra Portuguesa | Statement: [Carlos Paredes, notableWork, Guitarra Portuguesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guitarra Portuguesa
Context triple: [Carlos Paredes, notableWork, Guitarra Portuguesa]
  • A. Portuguese guitar chosen
    The Portuguese guitar is a traditional twelve-string plucked instrument, central to the performance of fado music and known for its teardrop-shaped body and bright, resonant tone.
  • B. Gitarja
    Gitarja, also known as Tribhuwana Wijayatunggadewi, was a 14th-century Javanese queen of the Majapahit Empire who significantly expanded its territory and influence.
  • C. Cravo
    Cravo is a Portuguese-language surname most notably associated with Brazilian sculptor and engraver Mário Cravo Júnior.
  • D. Lutes
    The Lutes are the athletic teams representing Pacific Lutheran University in collegiate sports competitions.
  • E. Gutar
    Gutar are the historical inhabitants of the Swedish island of Gotland, known from medieval sources such as the Gutasaga for their distinct culture, laws, and extensive Baltic Sea trade.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.