Triple
T9424436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince Rogers Nelson |
E227232
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mayte Garcia |
E256411
|
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: Mayte Garcia | Statement: [Prince Rogers Nelson, spouse, Mayte Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayte Garcia Context triple: [Prince Rogers Nelson, spouse, Mayte Garcia]
-
A.
Mayte Garcia
chosen
Mayte Garcia is an American dancer, choreographer, and actress best known for her work with and marriage to the musician Prince.
-
B.
Laura García
Laura García is a common Spanish-language personal name shared by multiple notable individuals across fields such as journalism, politics, and the arts.
-
C.
Marta Ornelas
Marta Ornelas is a Mexican former opera singer and stage director best known as the longtime wife of renowned Spanish tenor Plácido Domingo.
-
D.
Victoria Villarruel
Victoria Villarruel is an Argentine lawyer and politician known for her conservative stance on human rights issues and for serving as the country’s vice president alongside President Javier Milei.
-
E.
Angelica Fuentes
Angelica Fuentes is a Mexican businesswoman and philanthropist known for her leadership roles in the energy sector and in professional soccer, as well as her advocacy for women's empowerment in Latin America.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd6c29b4348190b45103e9ebd82aa4 |
completed | April 1, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1223d3cd8819089fec4c895125049 |
completed | April 4, 2026, 2:37 p.m. |
Created at: March 30, 2026, 7:49 p.m.