Triple
T6285596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Ortega y Gasset |
E140891
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ortega
Ortega is a Spanish surname most famously associated with the influential 20th-century philosopher José Ortega y Gasset.
|
E582688
|
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: Ortega | Statement: [José Ortega y Gasset, familyName, Ortega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortega Context triple: [José Ortega y Gasset, familyName, Ortega]
-
A.
D’Ortega
D’Ortega is a slave-owning character in Toni Morrison’s novel "A Mercy," known for his role in the enslavement of Florens’s mother and others on his plantation.
-
B.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
-
C.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
-
D.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
E.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
- 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: Ortega Triple: [José Ortega y Gasset, familyName, Ortega]
Generated description
Ortega is a Spanish surname most famously associated with the influential 20th-century philosopher José Ortega y Gasset.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ortega Target entity description: Ortega is a Spanish surname most famously associated with the influential 20th-century philosopher José Ortega y Gasset.
-
A.
D’Ortega
D’Ortega is a slave-owning character in Toni Morrison’s novel "A Mercy," known for his role in the enslavement of Florens’s mother and others on his plantation.
-
B.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
-
C.
Esquivel
Esquivel is a Spanish-language surname borne by various notable figures in literature, politics, and the arts across Latin America.
-
D.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
E.
Herrera
Herrera is a common Spanish surname borne by numerous notable figures across sports, politics, arts, and other fields in the Spanish-speaking world.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fe59fc81908dbd968017771190 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5196defc08190810c6d208ade918b |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c529857afc8190b8807615ea2b4e4d |
completed | March 26, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c58854c0c081908beccb626e923af3 |
completed | March 26, 2026, 7:26 p.m. |
Created at: March 22, 2026, 4:26 p.m.