Triple
T10506663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cardoso |
E247803
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Lourenço Cardoso |
E338945
|
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: Lourenço Cardoso | Statement: [Cardoso, hasNotableBearer, Lourenço Cardoso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lourenço Cardoso Context triple: [Cardoso, hasNotableBearer, Lourenço Cardoso]
-
A.
Francisco de Oliveira Passos
Francisco de Oliveira Passos was a Brazilian architect best known for designing prominent public buildings in Rio de Janeiro, including major cultural landmarks.
-
B.
Rebelo de Sousa
Rebelo de Sousa is the surname of Marcelo Rebelo de Sousa, the Portuguese politician and academic who serves as President of Portugal.
-
C.
Francisco Pinto Balsemão
Francisco Pinto Balsemão is a Portuguese politician, businessman, and former Prime Minister who played a key role in the country’s post-revolution democratic transition.
-
D.
João Manuel Gonçalves Lourenço
João Manuel Gonçalves Lourenço is an Angolan politician and former defense minister who has served as the President of Angola since 2017.
-
E.
Lourenço
chosen
Lourenço is a Portuguese-language surname commonly found in Lusophone countries such as Portugal, Brazil, and Angola.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b17cd88190b37e41b3ce2b4b16 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e5d1a2c81908a9bb8f1c55414fa |
completed | April 10, 2026, 8:32 p.m. |
Created at: April 6, 2026, 12:26 p.m.