Triple
T11942150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nunes |
E284202
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Núñez |
E712509
|
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: Núñez | Statement: [Nunes, hasVariant, Núñez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Núñez Context triple: [Nunes, hasVariant, Núñez]
-
A.
Núñez
chosen
Núñez is a residential neighborhood in northern Buenos Aires, Argentina, best known in sports for hosting River Plate’s Monumental stadium.
-
B.
Núñez Vela
Núñez Vela is a Spanish surname most notably associated with Blasco Núñez Vela, the first viceroy of Peru in the 16th century.
-
C.
Crespo
Crespo is a Spanish-origin surname borne by various notable individuals, including the Argentine footballer Hernán Crespo.
-
D.
Brazuelo
Brazuelo is a small municipality and village located in the historical region of La Maragatería in the province of León, Spain.
-
E.
Quiñonez
Quiñonez is the surname of actor Tony Revolori, known for his role in "The Grand Budapest Hotel."
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f458b9a35c8190875cb5ac7c9bcfba |
completed | May 1, 2026, 7:39 a.m. |
Created at: April 8, 2026, 9:45 p.m.