Triple
T22157120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Páez |
E547566
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Orlando Páez
Orlando Páez is a notable individual recognized for bearing the Páez surname, though specific widely known public details about his life or achievements are not clearly documented.
|
E1522230
|
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: Orlando Páez | Statement: [Páez, hasNotableBearer, Orlando Páez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlando Páez Context triple: [Páez, hasNotableBearer, Orlando Páez]
-
A.
Tomás Acea
Tomás Acea was a notable Cuban landowner and benefactor whose name was given to the Cementerio Tomás Acea in Cienfuegos, Cuba.
-
B.
J. Carlos Zapata
J. Carlos Zapata is a prominent architect and designer known for his work on innovative, high-profile building projects.
-
C.
Gustavo Ayón
Gustavo Ayón is a Mexican professional basketball center known for his successful career in Europe, particularly with Real Madrid, and his stint in the NBA.
-
D.
Carlos M. Castillón
Carlos M. Castillón is a film editor known for his work on major projects including Zack Snyder's Justice League.
-
E.
Luis Medina
Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
- 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: Orlando Páez Triple: [Páez, hasNotableBearer, Orlando Páez]
Generated description
Orlando Páez is a notable individual recognized for bearing the Páez surname, though specific widely known public details about his life or achievements are not clearly documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orlando Páez Target entity description: Orlando Páez is a notable individual recognized for bearing the Páez surname, though specific widely known public details about his life or achievements are not clearly documented.
-
A.
Tomás Acea
Tomás Acea was a notable Cuban landowner and benefactor whose name was given to the Cementerio Tomás Acea in Cienfuegos, Cuba.
-
B.
J. Carlos Zapata
J. Carlos Zapata is a prominent architect and designer known for his work on innovative, high-profile building projects.
-
C.
Gustavo Ayón
Gustavo Ayón is a Mexican professional basketball center known for his successful career in Europe, particularly with Real Madrid, and his stint in the NBA.
-
D.
Carlos M. Castillón
Carlos M. Castillón is a film editor known for his work on major projects including Zack Snyder's Justice League.
-
E.
Luis Medina
Luis Medina is a professional baseball pitcher from the Dominican Republic who has played in Major League Baseball.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12a2aadb48190b4d739d1df9529db |
completed | April 28, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a970c925481908d8f1135703f7050 |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97e509a88190a7f316cf340d010a |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a987daa208190bab5b7adec1913e8 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 16, 2026, 8:33 p.m.