Triple
T1880975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J Balvin |
E39852
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Osorio Balvín
Osorio Balvín is the surname of Colombian reggaeton singer and global Latin music star J Balvin.
|
E220152
|
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: Osorio Balvín | Statement: [J Balvin, familyName, Osorio Balvín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osorio Balvín Context triple: [J Balvin, familyName, Osorio Balvín]
-
A.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
B.
Miluska Rosales
Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
-
C.
Catalina Cortés
Catalina Cortés was a daughter of the Spanish conquistador Hernán Cortés, associated with the lineage of one of the most influential figures in the conquest of the Aztec Empire.
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
- 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: Osorio Balvín Triple: [J Balvin, familyName, Osorio Balvín]
Generated description
Osorio Balvín is the surname of Colombian reggaeton singer and global Latin music star J Balvin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osorio Balvín Target entity description: Osorio Balvín is the surname of Colombian reggaeton singer and global Latin music star J Balvin.
-
A.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
B.
Miluska Rosales
Miluska Rosales is known as the spouse of Italian actor and television personality Rossano Rubicondi.
-
C.
Catalina Cortés
Catalina Cortés was a daughter of the Spanish conquistador Hernán Cortés, associated with the lineage of one of the most influential figures in the conquest of the Aztec Empire.
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0fb95b48190af5286662c8b9734 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfba6e94c8190ad1daafbe7f70a44 |
completed | March 8, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69adfc1a62b48190b01d81718c827abf |
completed | March 8, 2026, 10:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd713c4081908a2fae2fada76dae |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:34 p.m.