Triple
T19539355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nelly Furtado |
E488853
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Juanes |
E426440
|
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: Juanes | Statement: [Nelly Furtado, associatedAct, Juanes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juanes Context triple: [Nelly Furtado, associatedAct, Juanes]
-
A.
Juanes
chosen
Juanes is a Colombian singer-songwriter and guitarist known for his Latin rock and pop music, socially conscious lyrics, and multiple Grammy and Latin Grammy Awards.
-
B.
Jose Montaner
Jose Montaner is the entrepreneur who created the Medieval Times Dinner & Tournament chain of medieval-themed dinner theater attractions.
-
C.
Alejandro Sanz
Alejandro Sanz is a Spanish singer-songwriter and musician renowned for his romantic ballads and multiple Grammy and Latin Grammy Awards.
-
D.
Cristian Castro
Cristian Castro is a Mexican pop singer known for his powerful vocals and numerous Latin American hits since the early 1990s.
-
E.
Juan Almagro
Juan Almagro is a person notable enough to be recognized as a prominent bearer of the surname Almagro.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63871d00881909ed7371ae5577957 |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e814c2c81909c9203461b8378b6 |
completed | May 15, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:41 p.m.