Triple
T6147378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amílcar de Castro |
E137112
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Castro
de Castro is a Portuguese-origin surname borne by numerous notable figures in the arts, politics, and academia across Lusophone countries.
|
E572205
|
NE FINISHED |
How this triple was built (4 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: [Amílcar de Castro, familyName, de Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Castro Context triple: [Amílcar de Castro, familyName, de Castro]
-
A.
de Guzmán
de Guzmán is a Spanish noble family name historically associated with Saint Dominic, founder of the Dominican Order.
-
B.
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.
-
C.
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
-
D.
de Madariaga
De Madariaga is a Spanish surname most notably associated with Salvador de Madariaga, a prominent diplomat, writer, and advocate of European integration.
-
E.
de Arriaga
de Arriaga is a Spanish-origin surname notably borne by Manuel de Arriaga, the first elected president of the Portuguese Republic.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: de Castro Triple: [Amílcar de Castro, familyName, de Castro]
Generated description
de Castro is a Portuguese-origin surname borne by numerous notable figures in the arts, politics, and academia across Lusophone countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Castro Target entity description: de Castro is a Portuguese-origin surname borne by numerous notable figures in the arts, politics, and academia across Lusophone countries.
-
A.
de Guzmán
de Guzmán is a Spanish noble family name historically associated with Saint Dominic, founder of the Dominican Order.
-
B.
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.
-
C.
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
-
D.
de Madariaga
De Madariaga is a Spanish surname most notably associated with Salvador de Madariaga, a prominent diplomat, writer, and advocate of European integration.
-
E.
de Arriaga
de Arriaga is a Spanish-origin surname notably borne by Manuel de Arriaga, the first elected president of the Portuguese Republic.
- F. None of above. chosen
Provenance (5 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cdeeaa88190948d9db6eb2dbf46 |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c13603730881909b3991c7262509b5 |
completed | March 23, 2026, 12:45 p.m. |
| NEDg | Description generation | batch_69c139f6f11c81909eb0b2ab809de079 |
completed | March 23, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c13a5f53ec8190be24f37fc5fb7f32 |
completed | March 23, 2026, 1:04 p.m. |
Created at: March 22, 2026, 4:16 p.m.