Triple
T14042650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aramburu |
E337882
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
César Aramburu
César Aramburu is a notable individual recognized as a prominent bearer of the Aramburu surname.
|
E1096877
|
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: César Aramburu | Statement: [Aramburu, hasNotableBearer, César Aramburu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: César Aramburu Context triple: [Aramburu, hasNotableBearer, César Aramburu]
-
A.
Gonzalo Aramburu
Gonzalo Aramburu is an Argentine chef and restaurateur known for his innovative, contemporary cuisine and his acclaimed restaurant Aramburu in Buenos Aires.
-
B.
Juan Carlos Aramburu
Juan Carlos Aramburu was an Argentine Roman Catholic cardinal who served as Archbishop of Buenos Aires and was a prominent figure in the country’s church during the late 20th century.
-
C.
Antonio López Habas
Antonio López Habas is a Spanish football manager best known for leading Atlético de Kolkata to success in the Indian Super League.
-
D.
Francisco Aramburu
Francisco Aramburu was a Brazilian footballer known for playing as a forward in the mid-20th century.
-
E.
José Gutiérrez Solana
José Gutiérrez Solana was a Spanish painter and writer known for his dark, expressionist depictions of Spanish society in the early 20th century.
- 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: César Aramburu Triple: [Aramburu, hasNotableBearer, César Aramburu]
Generated description
César Aramburu is a notable individual recognized as a prominent bearer of the Aramburu surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: César Aramburu Target entity description: César Aramburu is a notable individual recognized as a prominent bearer of the Aramburu surname.
-
A.
Gonzalo Aramburu
Gonzalo Aramburu is an Argentine chef and restaurateur known for his innovative, contemporary cuisine and his acclaimed restaurant Aramburu in Buenos Aires.
-
B.
Juan Carlos Aramburu
Juan Carlos Aramburu was an Argentine Roman Catholic cardinal who served as Archbishop of Buenos Aires and was a prominent figure in the country’s church during the late 20th century.
-
C.
Antonio López Habas
Antonio López Habas is a Spanish football manager best known for leading Atlético de Kolkata to success in the Indian Super League.
-
D.
Francisco Aramburu
Francisco Aramburu was a Brazilian footballer known for playing as a forward in the mid-20th century.
-
E.
José Gutiérrez Solana
José Gutiérrez Solana was a Spanish painter and writer known for his dark, expressionist depictions of Spanish society in the early 20th century.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd54fa19c081908e6467ee7b79f02a |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd55fe4e1881909b4a973dc7deb22b |
completed | May 8, 2026, 3:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd568784788190b6a97c29814b7459 |
completed | May 8, 2026, 3:20 a.m. |
Created at: April 9, 2026, 10:20 p.m.