Triple
T6154928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Milk |
E137295
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Danny Brown |
E566281
|
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: Danny Brown | Statement: [Black Milk, associatedWith, Danny Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Brown Context triple: [Black Milk, associatedWith, Danny Brown]
-
A.
Danny Brown
chosen
Danny Brown is an American rapper known for his eccentric style, high-pitched delivery, and critically acclaimed albums like "XXX" and "Atrocity Exhibition."
-
B.
Waka Flocka Flame
Waka Flocka Flame is an American rapper known for his aggressive trap sound and hits like "No Hands" and "Hard in da Paint."
-
C.
Juicy J
Juicy J is an American rapper, producer, and founding member of the hip hop group Three 6 Mafia, known for his influential role in Southern rap and numerous high-profile collaborations.
-
D.
Warren G
Warren G is an American West Coast rapper and producer best known for pioneering the G-funk sound and his hit single "Regulate."
-
E.
Lupe Fiasco
Lupe Fiasco is an American rapper, songwriter, and producer known for his socially conscious lyrics and critically acclaimed albums such as "Food & Liquor" and "The Cool."
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d01ddb0819085b5f5338b86a25d |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ed4abc88190993cfd4ef4f2862e |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:17 p.m.