Triple
T7316379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José de Urrea |
E168422
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Urrea
de Urrea is a Spanish surname historically associated with military and noble families, including figures such as Mexican general José de Urrea.
|
E657134
|
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 Urrea | Statement: [José de Urrea, familyName, de Urrea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Urrea Context triple: [José de Urrea, familyName, de Urrea]
-
A.
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.
-
B.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
C.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
-
D.
Arismendi
Arismendi is a Spanish-language surname most notably associated with Venezuelan independence leader Juan Bautista Arismendi and his prominent political and military family.
-
E.
Lardizabala
Lardizabala is a small genus of flowering plants known for its woody vines and ornamental value, native to temperate regions of South America.
- 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 Urrea Triple: [José de Urrea, familyName, de Urrea]
Generated description
de Urrea is a Spanish surname historically associated with military and noble families, including figures such as Mexican general José de Urrea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Urrea Target entity description: de Urrea is a Spanish surname historically associated with military and noble families, including figures such as Mexican general José de Urrea.
-
A.
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.
-
B.
Zorreguieta
Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
-
C.
Aramburu
Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
-
D.
Arismendi
Arismendi is a Spanish-language surname most notably associated with Venezuelan independence leader Juan Bautista Arismendi and his prominent political and military family.
-
E.
Lardizabala
Lardizabala is a small genus of flowering plants known for its woody vines and ornamental value, native to temperate regions of South America.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ef162d488190bf1c63b71b20a294 |
completed | March 27, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7eef3b1c48190ae65a136121b39cb |
completed | March 28, 2026, 3:08 p.m. |
| NEDg | Description generation | batch_69c7ef95787c819086684c4286166b43 |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0644ebc8190971075d75e3a76d0 |
completed | March 28, 2026, 3:14 p.m. |
Created at: March 27, 2026, 3:02 p.m.