Triple
T22166552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin trap |
E547801
|
entity |
| Predicate | hasNotableArtist |
P2487
|
FINISHED |
| Object | Myke Towers |
—
|
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: Myke Towers | Statement: [Latin trap, hasNotableArtist, Myke Towers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myke Towers Context triple: [Latin trap, hasNotableArtist, Myke Towers]
-
A.
Myke Towers
chosen
Myke Towers is a Puerto Rican rapper, singer, and songwriter known for his prominent role in the Latin trap and reggaeton scenes.
-
B.
Kid Ramos
Kid Ramos is an American blues and roots rock guitarist known for his work with bands like The Fabulous Thunderbirds and for his fiery, vintage-tinged guitar style.
-
C.
Fredro Santana
Fredro Santana was an American rapper and member of Chicago’s drill scene, known for his gritty style and frequent collaborations with Chief Keef and the Glory Boyz Entertainment collective.
-
D.
Mon Laferte
Mon Laferte is a Chilean singer-songwriter known for her powerful vocals and genre-blending Latin rock and pop music.
-
E.
Keefus Ciancia
Keefus Ciancia is an American composer and producer known for his atmospheric, genre-blending scores for film and television.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.