Triple
T6916371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan de Ugalde |
E160064
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Ugalde
De Ugalde is a Spanish Basque-origin surname historically associated with military and colonial figures such as Juan de Ugalde in New Spain.
|
E627352
|
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 Ugalde | Statement: [Juan de Ugalde, familyName, de Ugalde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Ugalde Context triple: [Juan de Ugalde, familyName, de Ugalde]
-
A.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
B.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
C.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
D.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
-
E.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
- 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 Ugalde Triple: [Juan de Ugalde, familyName, de Ugalde]
Generated description
De Ugalde is a Spanish Basque-origin surname historically associated with military and colonial figures such as Juan de Ugalde in New Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Ugalde Target entity description: De Ugalde is a Spanish Basque-origin surname historically associated with military and colonial figures such as Juan de Ugalde in New Spain.
-
A.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
B.
Gállego
The Gállego is a river in northeastern Spain that flows through the Aragon region and serves as a tributary of the Ebro River.
-
C.
Calvero
Calvero is the aging, once-famous clown portrayed by Charlie Chaplin in the 1952 film "Limelight," struggling with obscurity and seeking redemption through helping a young dancer.
-
D.
Pardo Villalón
Pardo Villalón is the compound Spanish surname associated with the Chilean naval officer and Antarctic explorer Luis Pardo.
-
E.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
- 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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9dec058819094d1913a1e5218c0 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7491589c08190982a84f2b61b497b |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c749e5a4188190829f534a12730c76 |
completed | March 28, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74aaccf6c819084556ede9ffc0f19 |
completed | March 28, 2026, 3:27 a.m. |
Created at: March 27, 2026, 2:26 p.m.