Triple
T23370545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Go Crazy |
E593458
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | OJ Finessey |
—
|
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: OJ Finessey | Statement: [Go Crazy, writer, OJ Finessey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OJ Finessey Context triple: [Go Crazy, writer, OJ Finessey]
-
A.
OJ Finessey
chosen
OJ Finessey is a music producer best known for his work on the track "Go Crazy."
-
B.
Cedric Kyles
Cedric Kyles, better known as Cedric the Entertainer, is an American stand-up comedian, actor, and game show host recognized for his work in film, television, and comedy.
-
C.
Ray Mercer
Ray Mercer is a former American professional boxer and Olympic gold medalist known for his powerful punching and notable heavyweight bouts in the 1990s.
-
D.
Melvin Odoom
Melvin Odoom is a British television and radio presenter and comedian known for his work on UK entertainment and music shows.
-
E.
Madieu Williams
Madieu Williams is a former NFL safety known both for his solid defensive play and his extensive community service and philanthropic work.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0b0bdc081908c7852c026ca7ff7 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.