Triple
T11177497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | João de Castro |
E264448
|
entity |
| Predicate | familyName |
P18
|
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: [João de Castro, familyName, de Castro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Castro Context triple: [João de Castro, familyName, 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.
Castro Barros
Castro Barros is a station on Line A of the Buenos Aires Underground, serving passengers in the Almagro neighborhood of Argentina's capital.
-
C.
de Guzmán
de Guzmán is a Spanish noble family name historically associated with Saint Dominic, founder of the Dominican Order.
-
D.
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.
-
E.
Cayetano
Cayetano is a Spanish given name and surname, historically associated with Saint Cajetan and commonly used in Spanish-speaking countries.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4838f19388190af6fde7d4275ce2a |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.