Triple
T22820034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In da Club |
E565200
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | Wanksta |
—
|
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: Wanksta | Statement: [In da Club, precededBySingle, Wanksta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanksta Context triple: [In da Club, precededBySingle, Wanksta]
-
A.
Wanksta
chosen
"Wanksta" is a 2002 hip-hop single by 50 Cent that gained widespread popularity after being featured on the soundtrack of the film 8 Mile.
-
B.
Wavves
Wavves is an American rock band known for its lo-fi, surf-influenced noise pop and punk sound, formed by singer-songwriter Nathan Williams.
-
C.
Banky W
Banky W is a Nigerian R&B singer, songwriter, and record label executive who played a key role in shaping the modern Afrobeats music scene.
-
D.
Sheck Wes
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
-
E.
Waka Flocka Flame
Waka Flocka Flame is an American rapper known for his aggressive trap sound and hits like "No Hands" and "Hard in da Paint."
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.