Triple
T18336104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandon Curry |
E439273
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brandon Curry |
—
|
NE NERFINISHED |
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 Curry | Statement: [Brandon Curry, name, Brandon Curry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brandon Curry Context triple: [Brandon Curry, name, Brandon Curry]
-
A.
Brandon Curry
chosen
Brandon Curry is an American professional bodybuilder best known for winning the 2019 Mr. Olympia title.
-
B.
Brandon Carr
Brandon Carr is an American former NFL cornerback best known for his durable career with teams such as the Kansas City Chiefs, Dallas Cowboys, and Baltimore Ravens.
-
C.
Nathan Curry
Nathan Curry is an individual notable enough to be recognized as a bearer of the surname Curry, though specific widely known achievements or roles are not clearly established.
-
D.
Ben Curry
Ben Curry is an English professional rugby union flanker who has represented Sale Sharks and earned international caps for England.
-
E.
Marcus Burnett
Marcus Burnett is a comedic yet principled Miami detective, portrayed by Martin Lawrence, best known as one half of the buddy-cop duo in the Bad Boys film series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.