Triple
T14781420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rojo |
E347396
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
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.
|
E1135525
|
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: Juan Rojo | Statement: [Rojo, hasNotableBearer, Juan Rojo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Rojo Context triple: [Rojo, hasNotableBearer, Juan Rojo]
-
A.
Juan Barroso
Juan Barroso is a person notable enough to be specifically cited as a bearer of the surname Barroso.
-
B.
Rojo Gómez
Rojo Gómez is a bus rapid transit station on Mexico City’s Metrobús system, serving Line 2 in the eastern part of the city.
-
C.
Rubén
Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
E.
Carvajal
Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American 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: Juan Rojo Triple: [Rojo, hasNotableBearer, Juan Rojo]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Rojo Target entity description: 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.
-
A.
Juan Barroso
Juan Barroso is a person notable enough to be specifically cited as a bearer of the surname Barroso.
-
B.
Rojo Gómez
Rojo Gómez is a bus rapid transit station on Mexico City’s Metrobús system, serving Line 2 in the eastern part of the city.
-
C.
Rubén
Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Juan Bohón
Juan Bohón was a Spanish conquistador best known as the founder of the Chilean city of La Serena in the 16th century.
-
E.
Carvajal
Carvajal is a Spanish surname of likely toponymic origin, borne by various notable figures in Spanish and Latin American 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_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_69fea5a2413c8190858e84cbc87b816d |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea733cd2c81909b56f6cf871e018e |
completed | May 9, 2026, 3:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea97741dc8190b56facdbff937c78 |
completed | May 9, 2026, 3:26 a.m. |
Created at: April 10, 2026, 1:31 a.m.