Triple
T19993807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chyna Doll |
E494128
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | D-Dot |
—
|
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: D-Dot | Statement: [Chyna Doll, producer, D-Dot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D-Dot Context triple: [Chyna Doll, producer, D-Dot]
-
A.
D-Dot
chosen
D-Dot is an American hip-hop producer and rapper best known as a member of Bad Boy Records' in-house production team The Hitmen.
-
B.
L.B. Dope
L.B. Dope is a musician best known as a member of the British band Alabama 3, which blends electronic music with blues, country, and gospel influences.
-
C.
Kenny Dope
Kenny Dope is an influential American DJ and producer best known as one half of the house music duo Masters at Work and for his genre-spanning work in house, hip-hop, and Latin-influenced dance music.
-
D.
D-Roc the Executioner
D-Roc the Executioner is a member of the rap group Body Count, known for their aggressive, hardcore metal-influenced hip-hop sound.
-
E.
Dex-Starr
Dex-Starr is a blue housecat from DC Comics who becomes a member of the Red Lantern Corps, wielding rage-fueled power despite his small and unassuming appearance.
- 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.