Triple
T20324913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dos Santos |
E492306
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | dos-Santos |
—
|
NE NERFINISHED |
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: dos-Santos | Statement: [Dos Santos, hasVariant, dos-Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dos-Santos Context triple: [Dos Santos, hasVariant, dos-Santos]
-
A.
Dos Santos
chosen
Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
-
B.
de Souza
de Souza is a Portuguese-origin surname commonly found in Lusophone countries and their diasporas.
-
C.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
D.
Santos
Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
-
E.
Santos
Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778f20288190b1862d6be61bfb67 |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:21 a.m.