Triple
T17853508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toribio Alfonso de Mogrovejo |
E445870
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
de Mogrovejo
De Mogrovejo is a Spanish surname most notably associated with Toribio Alfonso de Mogrovejo, a 16th-century Archbishop of Lima and Catholic saint.
|
E1293107
|
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 Mogrovejo | Statement: [Toribio Alfonso de Mogrovejo, familyName, de Mogrovejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Mogrovejo Context triple: [Toribio Alfonso de Mogrovejo, familyName, de Mogrovejo]
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Mejía
Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
-
C.
Figueroa del Rivero
Figueroa del Rivero is the birth surname of legendary American Broadway actress, singer, and dancer Chita Rivera.
-
D.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
E.
de Saavedra
de Saavedra is a Spanish surname historically associated with notable figures in Spain and its overseas territories.
- 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 Mogrovejo Triple: [Toribio Alfonso de Mogrovejo, familyName, de Mogrovejo]
Generated description
De Mogrovejo is a Spanish surname most notably associated with Toribio Alfonso de Mogrovejo, a 16th-century Archbishop of Lima and Catholic saint.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: de Mogrovejo Target entity description: De Mogrovejo is a Spanish surname most notably associated with Toribio Alfonso de Mogrovejo, a 16th-century Archbishop of Lima and Catholic saint.
-
A.
Burque
Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
-
B.
Mejía
Mejía is a Spanish-language surname of Hispanic origin borne by various notable figures across Latin American history and culture.
-
C.
Figueroa del Rivero
Figueroa del Rivero is the birth surname of legendary American Broadway actress, singer, and dancer Chita Rivera.
-
D.
Velasco
Velasco is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world and beyond.
-
E.
de Saavedra
de Saavedra is a Spanish surname historically associated with notable figures in Spain and its overseas territories.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e49001d8b881908c8d4efc3d7ff04f |
completed | April 19, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313c8942c8190bbe08068e4beced7 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a031493fcb881909f0840d6a3a4ce92 |
completed | May 12, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031599f7e0819097f0b9fe890d8731 |
completed | May 12, 2026, 11:57 a.m. |
Created at: April 10, 2026, 10:17 a.m.