Triple
T18114477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Combs |
E433566
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Diddy |
—
|
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: Diddy | Statement: [Sean Combs, alsoKnownAs, Diddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diddy Context triple: [Sean Combs, alsoKnownAs, Diddy]
-
A.
P. Diddy
chosen
P. Diddy, also known as Sean "Diddy" Combs, is an American rapper, producer, and entrepreneur who rose to prominence in the 1990s as a key figure in hip-hop and the founder of Bad Boy Records.
-
B.
Trick Daddy
Trick Daddy is an American rapper from Miami known for his gritty Southern hip hop style and influential role in popularizing Miami bass and crunk in the late 1990s and early 2000s.
-
C.
Ludacris
Ludacris is an American rapper, actor, and entrepreneur known for his witty Southern hip hop style and roles in the Fast & Furious film franchise.
-
D.
Lil Jon
Lil Jon is an American rapper, producer, and DJ known for popularizing crunk music and his energetic, shouted catchphrases.
-
E.
Lil Wayne
Lil Wayne is a Grammy-winning American rapper, singer, and songwriter known for his influential role in hip-hop and prolific output since the late 1990s.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd4c7888190b85c39decdb0333f |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.