Triple
T11059208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Eduardo dos Santos |
E261460
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | dos Santos |
E492306
|
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: dos Santos | Statement: [José Eduardo dos Santos, familyName, dos Santos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dos Santos Context triple: [José Eduardo dos Santos, familyName, dos Santos]
-
A.
Dos Santos
chosen
Dos Santos is a common Portuguese-language surname, especially prevalent in Brazil and other Lusophone countries.
-
B.
Cardoso
Cardoso is a common Portuguese-language surname borne by numerous individuals, including prominent Brazilian political and cultural figures.
-
C.
Sampaio
Sampaio is a Portuguese surname borne by various notable figures in fields such as politics, sports, and entertainment.
-
D.
Carvalho
Carvalho is a common Portuguese surname borne by many individuals, including the former professional footballer Ricardo Carvalho.
-
E.
Vieira
Vieira is a French former professional footballer and World Cup winner who became a prominent defensive midfielder and later a football manager.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a4f3f88190a29710f64cef9d25 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c87ab0308190a6a6ada1708f0ec2 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.