Triple
T15432061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis de Velasco |
E369664
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Velasco |
E173750
|
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 Velasco | Statement: [Luis de Velasco, familyName, de Velasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Velasco Context triple: [Luis de Velasco, familyName, de Velasco]
-
A.
de Velasco
chosen
De Velasco is a Spanish surname historically associated with notable figures such as naval officer Luis Vicente de Velasco e Isla.
-
B.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
C.
Ruiz de Apodaca
Ruiz de Apodaca is a Spanish surname most notably borne by Juan Ruiz de Apodaca, a high-ranking colonial administrator and viceroy of New Spain in the early 19th century.
-
D.
de Saavedra
de Saavedra is a Spanish surname historically associated with notable figures in Spain and its overseas territories.
-
E.
Ruiz de Cabañas
Ruiz de Cabañas is a Spanish-language surname associated with individuals such as Juan Ruiz de Cabañas.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8546948190a69ae1306bc19c64 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:21 a.m.