Triple
T14781428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rojo |
E347396
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Raúl Rojo
Raúl Rojo is a former Argentine footballer known for his career as a forward in the mid-20th century, particularly with Club Atlético Independiente.
|
E1138629
|
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: Raúl Rojo | Statement: [Rojo, hasNotableBearer, Raúl Rojo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raúl Rojo Context triple: [Rojo, hasNotableBearer, Raúl Rojo]
-
A.
Juan Rojo
Juan Rojo is a person notable enough to be recognized as a namesake of the surname Rojo, though specific widely known achievements or roles are not clearly established.
-
B.
Diego Rojo
Diego Rojo is a person notable enough to be recognized as a bearer of the surname Rojo, though specific widely known achievements or roles are not clearly established.
-
C.
Raúl
Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Manuel Rojas
Manuel Rojas was the husband of American film actress and model Martha Vickers.
-
E.
Manuel Rojas
Manuel Rojas was a 19th-century Puerto Rican revolutionary best known for leading the Grito de Lares uprising for the island’s independence from Spanish colonial rule.
- 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: Raúl Rojo Triple: [Rojo, hasNotableBearer, Raúl Rojo]
Generated description
Raúl Rojo is a former Argentine footballer known for his career as a forward in the mid-20th century, particularly with Club Atlético Independiente.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raúl Rojo Target entity description: Raúl Rojo is a former Argentine footballer known for his career as a forward in the mid-20th century, particularly with Club Atlético Independiente.
-
A.
Juan Rojo
Juan Rojo is a person notable enough to be recognized as a namesake of the surname Rojo, though specific widely known achievements or roles are not clearly established.
-
B.
Diego Rojo
Diego Rojo is a person notable enough to be recognized as a bearer of the surname Rojo, though specific widely known achievements or roles are not clearly established.
-
C.
Raúl
Raúl is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Manuel Rojas
Manuel Rojas was the husband of American film actress and model Martha Vickers.
-
E.
Manuel Rojas
Manuel Rojas was a 19th-century Puerto Rican revolutionary best known for leading the Grito de Lares uprising for the island’s independence from Spanish colonial rule.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7d279708190a54a56c0b80be10a |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feba0820e081909fa76c9725fe9c84 |
completed | May 9, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feba3ff2c8819099cc5be8c556d526 |
completed | May 9, 2026, 4:38 a.m. |
Created at: April 10, 2026, 1:31 a.m.