Triple
T7865911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magaña |
E182612
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Rafael Magaña
Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
|
E742741
|
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: Rafael Magaña | Statement: [Magaña, hasNotableBearer, Rafael Magaña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafael Magaña Context triple: [Magaña, hasNotableBearer, Rafael Magaña]
-
A.
Guillermo Magaña
Guillermo Magaña is a person notable enough to be recognized as a bearer of the surname Magaña, though specific widely known public details about him are not clearly established.
-
B.
Óscar Magaña
Óscar Magaña is a notable individual who carries the surname Magaña, recognized for achievements that distinguish him among bearers of the name.
-
C.
Luis Felipe Magaña
Luis Felipe Magaña is an individual notable enough to be recognized as a prominent bearer of the surname Magaña.
-
D.
Ángel Magaña
Ángel Magaña was an Argentine film and theater actor known for his prominent roles in classic Argentine cinema during the mid-20th century.
-
E.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
- 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: Rafael Magaña Triple: [Magaña, hasNotableBearer, Rafael Magaña]
Generated description
Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rafael Magaña Target entity description: Rafael Magaña is a person notable enough to be specifically cited as a bearer of the surname Magaña.
-
A.
Guillermo Magaña
Guillermo Magaña is a person notable enough to be recognized as a bearer of the surname Magaña, though specific widely known public details about him are not clearly established.
-
B.
Óscar Magaña
Óscar Magaña is a notable individual who carries the surname Magaña, recognized for achievements that distinguish him among bearers of the name.
-
C.
Luis Felipe Magaña
Luis Felipe Magaña is an individual notable enough to be recognized as a prominent bearer of the surname Magaña.
-
D.
Ángel Magaña
Ángel Magaña was an Argentine film and theater actor known for his prominent roles in classic Argentine cinema during the mid-20th century.
-
E.
Sergio Avelar
Sergio Avelar is an actor known for his role in the inspirational sports drama film "McFarland, USA."
- 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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3844eacc81908f8e1e5fc4dafec8 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88013b58819098bb60188fee1465 |
completed | April 2, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69ce8a442b508190bd8319fda51edc4b |
completed | April 2, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8afff50c8190b2dd1a7e0a5a130b |
completed | April 2, 2026, 3:28 p.m. |
Created at: March 30, 2026, 4:54 p.m.