Triple

T11732616
Position Surface form Disambiguated ID Type / Status
Subject Bajofondo E278935 entity
Predicate associatedAct P37 FINISHED
Object Juan Campodónico E944163 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: Juan Campodónico | Statement: [Bajofondo, associatedAct, Juan Campodónico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juan Campodónico
Context triple: [Bajofondo, associatedAct, Juan Campodónico]
  • A. Juan Campodónico chosen
    Juan Campodónico is a Uruguayan musician and producer known for blending electronic music with tango and rock, and for his influential work across Latin American alternative music.
  • B. Ignacio
    Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Juan Modesto
    Juan Modesto was a prominent Spanish Republican general during the Spanish Civil War, known for leading key offensives and commanding major army units.
  • D. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • E. Fermín
    Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4daa7f48190896fc7653e9dd70b completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1306859208190bc5d0b4f81fb1bff completed April 28, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:41 p.m.