Triple
T13495400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 30 Roc |
E320740
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bad and Boujee |
E186774
|
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: Bad and Boujee | Statement: [30 Roc, notableWork, Bad and Boujee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad and Boujee Context triple: [30 Roc, notableWork, Bad and Boujee]
-
A.
Bad and Boujee
chosen
"Bad and Boujee" is a 2016 trap single by hip-hop trio Migos featuring Lil Uzi Vert that became a breakout hit and cultural phenomenon, topping the Billboard Hot 100.
-
B.
Runtown
Runtown is a Nigerian singer, songwriter, and producer known for his fusion of Afropop, R&B, and hip-hop, and for hit songs like "Mad Over You."
-
C.
Baddie
"Baddie" is a popular Afropop song by Nigerian singer Yemi Alade, showcasing her energetic style and empowering lyrical themes.
-
D.
Can't Stop the Feeling!
"Can't Stop the Feeling!" is a 2016 upbeat pop song by Justin Timberlake, known for its feel-good dance vibe and association with the animated film Trolls.
-
E.
Bodak Yellow
"Bodak Yellow" is the breakout hip-hop single by Cardi B that propelled her to mainstream fame and topped the Billboard Hot 100 chart.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4da2c88190a867b53529d39545 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463fe0d081908484a7f16859008a |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:43 p.m.