Triple
T11433340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almagro |
E270941
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
de Almagro
De Almagro is a variant form of the Spanish surname Almagro, historically associated with figures such as the conquistador Diego de Almagro.
|
E925985
|
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 Almagro | Statement: [Almagro, hasVariant, de Almagro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Almagro Context triple: [Almagro, hasVariant, de Almagro]
-
A.
de Luna
De Luna is the noble Aragonese family name of Pope Benedict XIII, reflecting his origins in the medieval Spanish aristocracy.
-
B.
Simancas
Simancas is a historic town in Spain renowned for its royal archive, which houses some of the country’s most important state documents.
-
C.
Portolá
Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
-
D.
Ortiz de Gaete
Ortiz de Gaete is a Spanish surname historically associated with the family of Marina Ortiz de Gaete, wife of conquistador Pedro de Valdivia.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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 Almagro Triple: [Almagro, hasVariant, de Almagro]
Generated description
De Almagro is a variant form of the Spanish surname Almagro, historically associated with figures such as the conquistador Diego de Almagro.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Almagro Target entity description: De Almagro is a variant form of the Spanish surname Almagro, historically associated with figures such as the conquistador Diego de Almagro.
-
A.
de Luna
De Luna is the noble Aragonese family name of Pope Benedict XIII, reflecting his origins in the medieval Spanish aristocracy.
-
B.
Simancas
Simancas is a historic town in Spain renowned for its royal archive, which houses some of the country’s most important state documents.
-
C.
Portolá
Portolá is a Spanish surname most notably associated with Gaspar de Portolá, the 18th-century explorer and first Spanish governor of Alta California.
-
D.
Ortiz de Gaete
Ortiz de Gaete is a Spanish surname historically associated with the family of Marina Ortiz de Gaete, wife of conquistador Pedro de Valdivia.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c485f481909dd3d9b0993f3faf |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d379f8d48190860a1ef98505c42e |
completed | April 20, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69e5d659fd7c819090b168168e355cb8 |
completed | April 20, 2026, 7:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5d7f238cc8190a1c2dd26bdc5ff77 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 8, 2026, 9:35 p.m.