Triple
T19993811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chyna Doll |
E494128
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Bud’da |
—
|
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: Bud’da | Statement: [Chyna Doll, producer, Bud’da]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bud’da Context triple: [Chyna Doll, producer, Bud’da]
-
A.
Bud’da
chosen
Bud’da is an American hip-hop record producer known for his work with prominent rap artists in the late 1990s and early 2000s.
-
B.
Bodhi
Bodhi is the enlightened understanding or awakening in Buddhism, representing the profound realization of the true nature of reality.
-
C.
Bodhi
Bodhi is the charismatic, thrill-seeking surfer and bank robber who serves as the philosophical antagonist to FBI agent Johnny Utah in the film "Point Break."
-
D.
Budhni
Budhni is a town and legislative assembly constituency in Madhya Pradesh, India, known for being a stronghold of prominent state political leaders.
-
E.
Budda
Budda is a hip-hop music producer best known for his work on Ice Cube’s 1998 album "War & Peace Vol. 1 (The War Disc)," which includes the track "Nigga Please."
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe2036c8190b9f313215ad44e87 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:31 p.m.