Triple
T18824035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medina |
E460336
|
entity |
| Predicate | notableBearerExample |
P458
|
FINISHED |
| Object |
Luis Medina
Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
|
E1425267
|
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: Luis Medina | Statement: [Medina, notableBearerExample, Luis Medina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luis Medina Context triple: [Medina, notableBearerExample, Luis Medina]
-
A.
Guillermo Medina
Guillermo Medina is a notable individual who exemplifies the use and recognition of the surname Medina.
-
B.
Luis Tovar
Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
-
C.
José Medina
José Medina is a relatively common Spanish-language personal name shared by various individuals across fields such as politics, sports, and academia.
-
D.
Jorge Bustamante
Jorge Bustamante is a prominent Mexican sociologist and human rights advocate known for his pioneering work on migration and border issues between Mexico and the United States.
-
E.
Francisco Arce
Francisco Arce is a retired Paraguayan footballer and right-back renowned for his precise crossing and free-kick ability, who later became a football manager.
- 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: Luis Medina Triple: [Medina, notableBearerExample, Luis Medina]
Generated description
Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luis Medina Target entity description: Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
-
A.
Guillermo Medina
Guillermo Medina is a notable individual who exemplifies the use and recognition of the surname Medina.
-
B.
Luis Tovar
Luis Tovar is a Peruvian politician who has served as the mayor of Lima, the capital and largest city of Peru.
-
C.
José Medina
José Medina is a relatively common Spanish-language personal name shared by various individuals across fields such as politics, sports, and academia.
-
D.
Jorge Bustamante
Jorge Bustamante is a prominent Mexican sociologist and human rights advocate known for his pioneering work on migration and border issues between Mexico and the United States.
-
E.
Francisco Arce
Francisco Arce is a retired Paraguayan footballer and right-back renowned for his precise crossing and free-kick ability, who later became a football manager.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6bce5588190bd0aefcd0c51edad |
completed | April 20, 2026, 4:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08693797cc8190a9718a377734c897 |
completed | May 16, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0869e2a80481909105005195330dc9 |
completed | May 16, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a086a6812a08190b4594fa9b6054355 |
completed | May 16, 2026, 1 p.m. |
Created at: April 10, 2026, 11:56 a.m.