Triple

T14657984
Position Surface form Disambiguated ID Type / Status
Subject Law of Desire E344157 entity
Predicate musicBy P1952 FINISHED
Object Bernardo Bonezzi E1112918 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: Bernardo Bonezzi | Statement: [Law of Desire, musicBy, Bernardo Bonezzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernardo Bonezzi
Context triple: [Law of Desire, musicBy, Bernardo Bonezzi]
  • A. Bernardo Bonezzi chosen
    Bernardo Bonezzi was a Spanish composer best known for his influential film scores, particularly his collaborations with director Pedro Almodóvar during the 1980s.
  • B. Francesco Bontempi
    Francesco Bontempi is an Italian music producer and songwriter best known for his work in the 1990s Eurodance scene, particularly with projects like Corona.
  • C. Francesco Barra
    Francesco Barra is an individual notable enough to be recognized as a significant bearer of the surname Barra.
  • D. Stefano Bonaccini
    Stefano Bonaccini is an Italian politician of the centre-left who has served as president of the Emilia-Romagna region and is a prominent figure in the Democratic Party.
  • E. Francesco Stelluti
    Francesco Stelluti was a 17th-century Italian scientist and polymath, known as an early member of the Accademia dei Lincei and one of the first to publish microscopic observations.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51b6a248190a44050c0e0ec2d16 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde175db5881908f88d2b3fd72bb52 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.