Triple
T21319564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicolau Pereira de Campos Vergueiro |
E525574
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nicolau |
—
|
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: Nicolau | Statement: [Nicolau Pereira de Campos Vergueiro, givenName, Nicolau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolau Context triple: [Nicolau Pereira de Campos Vergueiro, givenName, Nicolau]
-
A.
Nicolau
chosen
Nicolau is a given name, commonly used in Catalan and Portuguese, equivalent to the Spanish name Nicolás.
-
B.
Nicolas Hieronimus
Nicolas Hieronimus is a French business executive who serves as the chief executive officer of global cosmetics giant L'Oréal.
-
C.
Luís
Luís is a common Portuguese male given name, historically associated with notable figures such as the poet Luís de Camões.
-
D.
Inácio
Inácio is a given name commonly used in Portuguese-speaking countries, equivalent to the Spanish name Ignacio.
-
E.
Raimundo
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
- 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_69e0b51ad810819098c12392c8e55f6c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e77ecfb7d481909cb73f95c3ddd9ed |
completed | April 21, 2026, 1:42 p.m. |
Created at: April 16, 2026, 4:38 p.m.