Triple
T21405032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Do You Wanna Get Funky |
E528010
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Take a Toke |
—
|
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: Take a Toke | Statement: [Do You Wanna Get Funky, followedBy, Take a Toke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Take a Toke Context triple: [Do You Wanna Get Funky, followedBy, Take a Toke]
-
A.
Take a Toke
chosen
"Take a Toke" is a dance/hip-hop track by American musical group C+C Music Factory, known for its club-oriented production and energetic style.
-
B.
The Token
The Token was a 19th-century American literary annual that published fiction, poetry, and essays by various authors.
-
C.
T.O.K.
T.O.K. is a Jamaican dancehall quartet known for their harmonized vocals and hit tracks that blended hardcore dancehall with R&B and pop influences.
-
D.
Toker
Toker is a variant form of the given name or surname Tucker, used as an alternative spelling or derivative.
-
E.
Tookes
Tookes is the surname of American fashion model Jasmine Tookes, known for her work with Victoria’s Secret.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1aea22881909a0cc754e417fbf3 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:31 p.m.