Triple
T23369829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder Beatz |
E593431
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nice for What |
—
|
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: Nice for What | Statement: [Murder Beatz, notableWork, Nice for What]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice for What Context triple: [Murder Beatz, notableWork, Nice for What]
-
A.
Nice for What
chosen
"Nice for What" is a 2018 Drake single produced by Murda Beatz that blends bounce-influenced hip hop with a prominent Lauryn Hill sample and became a major chart-topping hit.
-
B.
Everything Nice
"Everything Nice" is a popular dancehall song by Jamaican artist Popcaan, known for its laid-back vibe and themes of gratitude and enjoyment of life.
-
C.
It’s What It Is
"It’s What It Is" is a track by rapper Redman featured on his 2007 album "Red Gone Wild: Thee Album."
-
D.
What It Takes
"What It Takes" is a song by the American rock band Aerosmith, released in 1989 as a power ballad from their album "Pump."
-
E.
Good for It
"Good for It" is a track featured on the mixtape "NAV" by Canadian rapper and producer Nav.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aff84c8190a5a6bf52adae1c9a |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 17, 2026, 5:32 p.m.