Triple
T11398038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinzón |
E270030
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Miguel Pinzón
Miguel Pinzón is a Colombian actor and television personality known for his roles in Spanish-language telenovelas and series.
|
E926973
|
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: Miguel Pinzón | Statement: [Pinzón, hasNotableBearer, Miguel Pinzón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Pinzón Context triple: [Pinzón, hasNotableBearer, Miguel Pinzón]
-
A.
Jorge Pinzón
Jorge Pinzón is a notable individual who shares the Spanish surname Pinzón, historically associated with prominent figures in exploration and public life.
-
B.
Andrés Pinzón
Andrés Pinzón is a person notable enough to be specifically cited as a bearer of the surname Pinzón.
-
C.
Sebastián Ramírez
Sebastián Ramírez is a software developer best known for creating the modern, high-performance Python web framework FastAPI.
-
D.
Andrés Páez de Sotomayor
Andrés Páez de Sotomayor was a Spanish colonial figure known as the founder of the Colombian city of Bucaramanga.
-
E.
Agustín de Betancourt
Agustín de Betancourt was a Spanish engineer and architect renowned for his pioneering work in civil engineering and urban planning across Europe and the Russian Empire.
- 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: Miguel Pinzón Triple: [Pinzón, hasNotableBearer, Miguel Pinzón]
Generated description
Miguel Pinzón is a Colombian actor and television personality known for his roles in Spanish-language telenovelas and series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miguel Pinzón Target entity description: Miguel Pinzón is a Colombian actor and television personality known for his roles in Spanish-language telenovelas and series.
-
A.
Jorge Pinzón
Jorge Pinzón is a notable individual who shares the Spanish surname Pinzón, historically associated with prominent figures in exploration and public life.
-
B.
Andrés Pinzón
Andrés Pinzón is a person notable enough to be specifically cited as a bearer of the surname Pinzón.
-
C.
Sebastián Ramírez
Sebastián Ramírez is a software developer best known for creating the modern, high-performance Python web framework FastAPI.
-
D.
Andrés Páez de Sotomayor
Andrés Páez de Sotomayor was a Spanish colonial figure known as the founder of the Colombian city of Bucaramanga.
-
E.
Agustín de Betancourt
Agustín de Betancourt was a Spanish engineer and architect renowned for his pioneering work in civil engineering and urban planning across Europe and the Russian Empire.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80019d3d48190a2f473deb6eae33a |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8cc338081908da977b5b7c6bef3 |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f1557e9c8190b53ce391793b2c7f |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f863bf7c81908969ed0a5b99f032 |
completed | April 20, 2026, 9:56 a.m. |
Created at: April 8, 2026, 9:34 p.m.