Triple
T23381787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culture III |
E593766
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Budda Beats |
—
|
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: Budda Beats | Statement: [Culture III, producer, Budda Beats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Budda Beats Context triple: [Culture III, producer, Budda Beats]
-
A.
Budda Beats
chosen
Budda Beats is a music producer and songwriter known for crafting hip-hop and trap instrumentals, including work on tracks like "Workin Me."
-
B.
Jhankaar Beats
Jhankaar Beats is a 2003 Hindi musical comedy film known for its tribute to R.D. Burman, its popular soundtrack, and its story of three friends forming a band.
-
C.
The Buds
The Buds is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise based in Toronto, Ontario.
-
D.
The Buds
The Buds is a musical group known for its work under the name Maple Buds.
-
E.
Buddah Bless
Buddah Bless is a hip-hop record producer known for crafting energetic, hard-hitting beats for prominent rap artists.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b7eff48190be126df2211b4c85 |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:34 p.m.