Triple
T21874021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEFE |
E540083
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | 6ix9ine |
—
|
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: 6ix9ine | Statement: [FEFE, performer, 6ix9ine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 6ix9ine Context triple: [FEFE, performer, 6ix9ine]
-
A.
Tekashi 6ix9ine
chosen
Tekashi 6ix9ine is an American rapper known for his aggressive style, rainbow-colored appearance, legal troubles, and highly publicized cooperation with federal authorities.
-
B.
6ix
6ix is an American record producer best known for his frequent collaborations with rapper Logic and his work on numerous tracks across the Visionary Music Group catalog.
-
C.
21 Savage
21 Savage is a Grammy-winning Atlanta-based rapper known for his dark, minimalist trap sound and hit collaborations like "a lot" and "Bank Account."
-
D.
Tory Lanez
Tory Lanez is a Canadian rapper, singer, and songwriter known for his melodic blend of hip hop and R&B and for hit projects like "Chixtape" and "Daystar."
-
E.
Kodak Black
Kodak Black is an American rapper known for his melodic flow, troubled legal history, and hit songs like "Tunnel Vision" and "ZEZE."
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f338757c81908005bfedb52b03cc |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:01 p.m.