Triple
T10621713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4 Your Eyez Only |
E250217
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Cedric Brown |
E877050
|
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: Cedric Brown | Statement: [4 Your Eyez Only, producer, Cedric Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedric Brown Context triple: [4 Your Eyez Only, producer, Cedric Brown]
-
A.
Cedric Brown
chosen
Cedric Brown is a music producer known for his work on J. Cole’s acclaimed hip-hop album "Born Sinner."
-
B.
Terrence Duckett
Terrence Duckett is an American healthcare consultant best known to the public as the former husband of actress Jasmine Guy.
-
C.
Antonio Dixon
Antonio Dixon is an American record producer and songwriter known for his work in contemporary R&B and pop music with prominent artists.
-
D.
Cedric Yarbrough
Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
-
E.
Cedric Gibbons
Cedric Gibbons was a prominent Irish-American art director and production designer at MGM, renowned for shaping the visual style of classic Hollywood films and for designing the Oscar statuette.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df70b0288190bf6edd705632ff02 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988474cf0819087516026fd249640 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 8:50 p.m.