Triple
T10324171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandon Perea |
E242717
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Angel Torres |
E242713
|
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: Angel Torres | Statement: [Brandon Perea, portrays, Angel Torres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angel Torres Context triple: [Brandon Perea, portrays, Angel Torres]
-
A.
Angel Torres
chosen
Angel Torres is a central character in the 2022 science-fiction horror film "Nope," contributing to the story’s exploration of spectacle and the unknown.
-
B.
Mercedes Torres
Mercedes Torres was the mother of Chilean politician and former president Manuel Montt.
-
C.
Sonia Rodriguez
Sonia Rodriguez is a renowned Spanish-Canadian ballerina who became one of the National Ballet of Canada’s most celebrated principal dancers.
-
D.
Miranda Torres
Miranda Torres is a surname of likely Spanish origin shared by individuals such as William Miranda Torres, a Puerto Rican politician.
-
E.
Mercedes Martinez
Mercedes Martinez is the wife of American filmmaker Chris Weitz, known primarily for her connection to his work in the film industry.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6ce683c8190bf5385dd04bf2de8 |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da2053481908fe5ed097b480cdd |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:51 a.m.