Triple
T22905651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrld on Drugs |
E568435
|
entity |
| Predicate | hasGuestAppearance |
P4920
|
FINISHED |
| Object |
Yung Bans
Yung Bans is an American rapper known for his melodic trap style and breakout tracks like "Dresser" and "Lonely."
|
E1560877
|
NE FINISHED |
How this triple was built (4 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 Bans | Statement: [Wrld on Drugs, hasGuestAppearance, Yung Bans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yung Bans Context triple: [Wrld on Drugs, hasGuestAppearance, Yung Bans]
-
A.
Yung Dza
Yung Dza is a songwriter and music artist known for contributing to contemporary tracks such as the song "Up."
-
B.
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.
-
C.
Yung Lean
Yung Lean is a Swedish rapper, singer, and producer known for pioneering the cloud rap and emo rap scenes with his melancholic, internet-influenced style.
-
D.
Yung Ro
Yung Ro is an American rapper best known as a member of Chamillionaire’s Houston-based hip hop group The Color Changin' Click.
-
E.
Yung L.A.
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.”
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yung Bans Triple: [Wrld on Drugs, hasGuestAppearance, Yung Bans]
Generated description
Yung Bans is an American rapper known for his melodic trap style and breakout tracks like "Dresser" and "Lonely."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yung Bans Target entity description: Yung Bans is an American rapper known for his melodic trap style and breakout tracks like "Dresser" and "Lonely."
-
A.
Yung Dza
Yung Dza is a songwriter and music artist known for contributing to contemporary tracks such as the song "Up."
-
B.
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.
-
C.
Yung Lean
Yung Lean is a Swedish rapper, singer, and producer known for pioneering the cloud rap and emo rap scenes with his melancholic, internet-influenced style.
-
D.
Yung Ro
Yung Ro is an American rapper best known as a member of Chamillionaire’s Houston-based hip hop group The Color Changin' Click.
-
E.
Yung L.A.
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.”
- F. None of above. chosen
Provenance (5 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180198fe88190b2f8c2a827d95fdc |
completed | April 29, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bb9cd640481908d25d3bd98337457 |
completed | May 19, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_6a0bbb4c32a4819086a4bfdf25476d78 |
completed | May 19, 2026, 1:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bbc2a2244819090ead891e1a866ed |
completed | May 19, 2026, 1:26 a.m. |
Created at: April 17, 2026, 3:41 p.m.