Triple
T11732597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajofondo |
E278935
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object |
Juan Campodónico
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.
|
E944163
|
NE FINISHED |
How this triple was built (4 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, coFounder, Juan Campodónico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Campodónico Context triple: [Bajofondo, coFounder, Juan Campodónico]
-
A.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
B.
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.
-
C.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
D.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
-
E.
Gaspar
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Juan Campodónico Triple: [Bajofondo, coFounder, Juan Campodónico]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Campodónico Target entity description: 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.
-
A.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
B.
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.
-
C.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
D.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
-
E.
Gaspar
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
- F. None of above. chosen
Provenance (5 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_69f0199f595081908c10ecd7dd3900e7 |
completed | April 28, 2026, 2:21 a.m. |
| NEDg | Description generation | batch_69f01d7ab930819095eaae226ab55b80 |
completed | April 28, 2026, 2:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f043ddbfe481908e0c439dbd3e944f |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.