Triple
T10872558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Nudy |
E256694
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Young Nudy |
E256694
|
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: Young Nudy | Statement: [Young Nudy, stageName, Young Nudy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Young Nudy Context triple: [Young Nudy, stageName, Young Nudy]
-
A.
Young Nudy
chosen
Young Nudy is an American rapper from Atlanta known for his gritty trap style and collaborations within the city's hip-hop scene.
-
B.
Young Dro
Young Dro is an American rapper from Atlanta known for his Southern hip hop style and hits like "Shoulder Lean."
-
C.
Nooky (rapper)
Nooky is an Australian rapper and music artist of Yorta Yorta heritage known for his contributions to Indigenous hip hop and advocacy for First Nations representation in contemporary music.
-
D.
Yung Gud
Yung Gud is a Swedish producer and DJ best known for his atmospheric, melancholic beats and frequent collaborations with rapper Yung Lean as part of the Sad Boys collective.
-
E.
Uncle Murda
Uncle Murda is a Brooklyn-born American rapper known for his gritty street narratives, aggressive delivery, and annual "Rap Up" songs recapping each year's events.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7dbea28819083511b56bcd7d4ce |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 8, 2026, 9:21 p.m.