Triple
T12748149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliveira Salazar |
E304659
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | António |
E7036
|
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: António | Statement: [Oliveira Salazar, givenName, António]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: António Context triple: [Oliveira Salazar, givenName, António]
-
A.
António
chosen
António is a common Portuguese given name, notably borne by António Guterres, the Secretary-General of the United Nations.
-
B.
Afonso
Afonso is a Portuguese surname most notably borne by the renowned geometric abstractionist painter and architect Nadir Afonso.
-
C.
Gonçalo
Gonçalo is a Portuguese given name, equivalent to the Spanish name Gonzalo and commonly used for males in Portuguese-speaking countries.
-
D.
Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
-
E.
Manoel
Manoel is a given name, commonly used in Portuguese- and Spanish-speaking cultures, that is a variant of the name Emmanuel.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd58d30819082af4edb4cd0b4ab |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c964c508190b4d6a094b388280b |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.