Triple
T21873978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keke |
E540082
|
entity |
| Predicate | artist |
P184
|
FINISHED |
| Object | A Boogie wit da Hoodie |
—
|
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: A Boogie wit da Hoodie | Statement: [Keke, artist, A Boogie wit da Hoodie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A Boogie wit da Hoodie Context triple: [Keke, artist, A Boogie wit da Hoodie]
-
A.
A Boogie wit da Hoodie
chosen
A Boogie wit da Hoodie is an American rapper, singer, and songwriter from the Bronx known for his melodic trap style and introspective lyrics.
-
B.
Booba
Booba is a prominent French rapper and entrepreneur known for his influential role in the French hip-hop scene and numerous hit albums and collaborations.
-
C.
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."
-
D.
Tee Grizzley
Tee Grizzley is an American rapper from Detroit known for his gritty storytelling and breakout hit "First Day Out."
-
E.
Meek Mill
Meek Mill is an American rapper from Philadelphia known for his gritty street anthems, high-energy delivery, and prominent role in both mainstream hip-hop and criminal justice reform advocacy.
- 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.