Triple
T7910698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castro |
E183689
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | de Castro |
E572205
|
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: de Castro | Statement: [Castro, hasVariant, de Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Castro Context triple: [Castro, hasVariant, de Castro]
-
A.
de Castro
chosen
de Castro is a Portuguese-origin surname borne by numerous notable figures in the arts, politics, and academia across Lusophone countries.
-
B.
de Guzmán
de Guzmán is a Spanish noble family name historically associated with Saint Dominic, founder of the Dominican Order.
-
C.
Ñuflo de Chaves
Ñuflo de Chaves was a 16th-century Spanish conquistador and explorer best known for establishing the city of Santa Cruz de la Sierra in present-day Bolivia.
-
D.
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
-
E.
de Madariaga
De Madariaga is a Spanish surname most notably associated with Salvador de Madariaga, a prominent diplomat, writer, and advocate of European integration.
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5db9508190bbe92673ef5a7861 |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bdaf91c8190b31c5e539bdf049f |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:04 p.m.