Triple
T20881135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peláez |
E514149
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Juan Peláez
Juan Peláez is a person notable enough to be recognized as a prominent bearer of the Peláez surname.
|
E1571721
|
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: Juan Peláez | Statement: [Peláez, hasNotableBearer, Juan Peláez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juan Peláez Context triple: [Peláez, hasNotableBearer, Juan Peláez]
-
A.
Carlos Peláez
Carlos Peláez is a notable individual who carries the Peláez surname, recognized as a distinguished bearer of this family name.
-
B.
Juan Escalona
Juan Escalona was a political and military figure who played a significant leadership role during the brief existence of the First Republic of Venezuela in the early 19th century.
-
C.
Gonzalo Peláez
Gonzalo Peláez was a 12th-century Asturian nobleman and military leader known for repeatedly rebelling against the kings of León and Castile.
-
D.
Roberto Blandón
Roberto Blandón is a Mexican television actor best known for his numerous roles in telenovelas.
-
E.
Martín Vásquez
Martín Vásquez is a former professional soccer midfielder and coach who played in Major League Soccer and later served on coaching staffs for clubs and the U.S. national team.
- 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: Juan Peláez Triple: [Peláez, hasNotableBearer, Juan Peláez]
Generated description
Juan Peláez is a person notable enough to be recognized as a prominent bearer of the Peláez surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juan Peláez Target entity description: Juan Peláez is a person notable enough to be recognized as a prominent bearer of the Peláez surname.
-
A.
Carlos Peláez
Carlos Peláez is a notable individual who carries the Peláez surname, recognized as a distinguished bearer of this family name.
-
B.
Juan Escalona
Juan Escalona was a political and military figure who played a significant leadership role during the brief existence of the First Republic of Venezuela in the early 19th century.
-
C.
Gonzalo Peláez
Gonzalo Peláez was a 12th-century Asturian nobleman and military leader known for repeatedly rebelling against the kings of León and Castile.
-
D.
Roberto Blandón
Roberto Blandón is a Mexican television actor best known for his numerous roles in telenovelas.
-
E.
Martín Vásquez
Martín Vásquez is a former professional soccer midfielder and coach who played in Major League Soccer and later served on coaching staffs for clubs and the U.S. national team.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c23c937f88190bf9b00fb5b2907f5 |
completed | May 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_6a0c271d8fc48190a818c73660218022 |
completed | May 19, 2026, 9:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c2951a718819088c1c7d8435586ec |
completed | May 19, 2026, 9:11 a.m. |
Created at: April 16, 2026, 12:46 p.m.