Triple
T23319167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaspar de Portolá |
E590798
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gaspar |
—
|
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: Gaspar | Statement: [Gaspar de Portolá, givenName, Gaspar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaspar Context triple: [Gaspar de Portolá, givenName, Gaspar]
-
A.
Gaspar
Gaspar is a municipality in the Vale do Itajaí region of Santa Catarina, Brazil, known for its textile industry and strong German-Brazilian cultural heritage.
-
B.
Gaspar
chosen
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
-
C.
Pascual
Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Gutierre
Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
-
E.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.