Triple
T14363413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good for You |
E356161
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Aminé |
E71698
|
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: Aminé | Statement: [Good for You, producer, Aminé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aminé Context triple: [Good for You, producer, Aminé]
-
A.
Aminé
chosen
Aminé is an American rapper, singer, and songwriter known for his breakout hit "Caroline" and his eclectic, melodic approach to hip-hop.
-
B.
Smino
Smino is an American rapper and singer known for his melodic, genre-blending style and inventive wordplay within contemporary hip-hop and R&B.
-
C.
Don Toliver
Don Toliver is an American rapper and singer known for his melodic trap style and collaborations with major artists like Travis Scott and Kanye West.
-
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.
Fashawn
Fashawn is an American hip-hop artist and rapper known for his introspective lyrics and collaborations with prominent figures in the underground and mainstream rap scenes.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fabec088190bd8128371b29e958 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda907abf88190b86ce65390d9ca40 |
completed | May 8, 2026, 9:12 a.m. |
Created at: April 10, 2026, 1:15 a.m.