Triple
T13993198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Si Tú Te Vas |
E336631
|
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: [Si Tú Te Vas, producer, Rafael Pérez-Botija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael Pérez-Botija Context triple: [Si Tú Te Vas, 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_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.