Triple
T23391514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Art of Hustle |
E594030
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Yung Ladd |
—
|
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: Yung Ladd | Statement: [The Art of Hustle, hasProducer, Yung Ladd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yung Ladd Context triple: [The Art of Hustle, hasProducer, Yung Ladd]
-
A.
Yung L.A.
chosen
Yung L.A. is an American rapper from Atlanta known for his affiliation with T.I.’s Grand Hustle label and his regional hit “Ain’t I.”
-
B.
Yung Joc
Yung Joc is an American rapper from Atlanta best known for his mid-2000s hit single "It's Goin' Down" and his contributions to Southern hip hop.
-
C.
Yung Dza
Yung Dza is a songwriter and music artist known for contributing to contemporary tracks such as the song "Up."
-
D.
YFN Lucci
YFN Lucci is an American rapper and singer from Atlanta known for melodic street anthems like "Key to the Streets" and "Everyday We Lit."
-
E.
Yung Bans
Yung Bans is an American rapper known for his melodic trap style and breakout tracks like "Dresser" and "Lonely."
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49ca5a0819091b74ca59e7fedd4 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:36 p.m.