Triple

T13993270
Position Surface form Disambiguated ID Type / Status
Subject Cosas del Amor E336633 entity
Predicate producer P490 FINISHED
Object Rafael Pérez-Botija E1072798 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: Rafael Pérez-Botija | Statement: [Cosas del Amor, producer, Rafael Pérez-Botija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rafael Pérez-Botija
Context triple: [Cosas del Amor, producer, Rafael Pérez-Botija]
  • A. Rafael Pérez-Botija chosen
    Rafael Pérez-Botija is a Spanish composer and record producer known for his work on numerous Latin pop albums and hit songs from the 1970s onward.
  • B. Pablo Díaz-Reixa
    Pablo Díaz-Reixa is a Spanish musician and producer best known for his experimental, tropical-influenced pop project El Guincho.
  • C. Diego Muñoz-Torrero
    Diego Muñoz-Torrero was a Spanish priest, politician, and liberal reformer who played a leading role in the Cortes of Cádiz and the drafting of the Spanish Constitution of 1812.
  • D. Rafael Lopez-Cambil
    Rafael Lopez-Cambil is known as the husband of Spanish-French fashion designer and businesswoman Paloma Picasso.
  • E. Andrés García-Lorido
    Andrés García-Lorido is a member of the García-Lorido family, known in part through their connections to the entertainment industry.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0934b74819094ec7309c23a3e2a completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:19 p.m.