Triple
T11039491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandon Perea |
E260971
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brandon Perea |
E260971
|
NE FINISHED |
How this triple was built (2 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: Brandon Perea | Statement: [Brandon Perea, name, Brandon Perea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandon Perea Context triple: [Brandon Perea, name, Brandon Perea]
-
A.
Brandon Perea
chosen
Brandon Perea is an American actor best known for his breakout role as tech-savvy salesman Angel Torres in Jordan Peele’s sci-fi horror film "Nope."
-
B.
Jay Perez
Jay Perez is an American Tejano singer known for his smooth vocal style and successful solo career that helped modernize and popularize the genre.
-
C.
Jesse Valenzuela
Jesse Valenzuela is an American musician and songwriter best known as a founding guitarist and vocalist for the alternative rock band Gin Blossoms.
-
D.
Brandon Larracuente
Brandon Larracuente is an American actor known for his television roles, including a part in the medical drama series "The Good Doctor."
-
E.
Chris Espinosa
Chris Espinosa is a longtime Apple engineer and one of the company’s earliest employees, known for his significant contributions to the original Macintosh and subsequent Apple software projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797ff519481909ebc2515b3d241de |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4419a91b08190a55c7f874a3df0fe |
completed | April 19, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:26 p.m.