Triple
T19614119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Beda College of Law |
E470811
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object |
Ramon Paul Hernando
Ramon Paul Hernando is a Filipino lawyer and jurist who serves as an Associate Justice of the Supreme Court of the Philippines.
|
E1484218
|
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: Ramon Paul Hernando | Statement: [San Beda College of Law, notableAlumnus, Ramon Paul Hernando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramon Paul Hernando Context triple: [San Beda College of Law, notableAlumnus, Ramon Paul Hernando]
-
A.
Ramon Campos
Ramon Campos is an alias used by the Mexican drug lord and primary antagonist Arturo Braga in the film "Fast & Furious."
-
B.
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
-
C.
Ramiro Corrales
Ramiro Corrales is a retired American soccer defender and midfielder best known for his long tenure with the San Jose Earthquakes in Major League Soccer.
-
D.
Guillermo Pulido
Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
-
E.
Ramón Rodríguez
Ramón Rodríguez is a Puerto Rican-American actor known for his roles in action and crime films and television series, including prominent parts in projects like "Transformers: Revenge of the Fallen" and "The Wire."
- 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: Ramon Paul Hernando Triple: [San Beda College of Law, notableAlumnus, Ramon Paul Hernando]
Generated description
Ramon Paul Hernando is a Filipino lawyer and jurist who serves as an Associate Justice of the Supreme Court of the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramon Paul Hernando Target entity description: Ramon Paul Hernando is a Filipino lawyer and jurist who serves as an Associate Justice of the Supreme Court of the Philippines.
-
A.
Ramon Campos
Ramon Campos is an alias used by the Mexican drug lord and primary antagonist Arturo Braga in the film "Fast & Furious."
-
B.
Rafael Pineda
Rafael Pineda is a songwriter best known for co-writing Beyoncé’s hit track “Cuff It.”
-
C.
Ramiro Corrales
Ramiro Corrales is a retired American soccer defender and midfielder best known for his long tenure with the San Jose Earthquakes in Major League Soccer.
-
D.
Guillermo Pulido
Guillermo Pulido is a notable individual whose surname, Pulido, is recognized as being borne by him.
-
E.
Ramón Rodríguez
Ramón Rodríguez is a Puerto Rican-American actor known for his roles in action and crime films and television series, including prominent parts in projects like "Transformers: Revenge of the Fallen" and "The Wire."
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ce272481909688527f72d2c976 |
completed | April 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c289750081908188a60ea7a0062f |
completed | May 17, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_6a09c2fba3348190a4d8317c6bf45687 |
completed | May 17, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c383e0148190a54480a52c9bd34f |
completed | May 17, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:43 p.m.