Triple
T13982454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanye West and Kid Cudi |
E336344
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Ty Dolla Sign |
E66898
|
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: Ty Dolla Sign | Statement: [Kanye West and Kid Cudi, associatedAct, Ty Dolla Sign]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ty Dolla Sign Context triple: [Kanye West and Kid Cudi, associatedAct, Ty Dolla Sign]
-
A.
Ty Dolla Sign
chosen
Ty Dolla Sign is an American singer, rapper, songwriter, and producer known for his melodic hooks and frequent high-profile collaborations across hip hop and R&B.
-
B.
DaBaby
DaBaby is an American rapper known for his energetic delivery, catchy flows, and hit songs like "Suge" and "Rockstar."
-
C.
Kash Doll
Kash Doll is an American rapper and songwriter from Detroit known for her confident lyricism and presence in the contemporary hip-hop scene.
-
D.
Denzel Curry
Denzel Curry is an American rapper, singer, and songwriter known for his aggressive delivery, introspective lyrics, and influential role in the South Florida hip-hop scene.
-
E.
NLE Choppa
NLE Choppa is an American rapper known for his energetic delivery and breakout hit "Shotta Flow," which gained widespread popularity in the late 2010s.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c67e2c8190a14b273af0d93b0a |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.