Triple
T19365343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simply Deep |
E484384
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Joe Budden |
—
|
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: Joe Budden | Statement: [Simply Deep, featuresArtist, Joe Budden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Budden Context triple: [Simply Deep, featuresArtist, Joe Budden]
-
A.
Joe Budden
chosen
Joe Budden is an American rapper, media personality, and former member of the hip hop supergroup Slaughterhouse, best known for his hit single "Pump It Up" and his influential podcast "The Joe Budden Podcast."
-
B.
Ben Silbermann
Ben Silbermann is an American entrepreneur best known as the co-founder and former CEO of the visual discovery platform Pinterest.
-
C.
John Melvin
John Melvin was a Concord, Massachusetts native whose memory is honored by the Melvin Memorial, likely for his service and sacrifice, possibly in a military conflict.
-
D.
Anthony Nance
Anthony Nance is a music producer best known for his work on the track "Anytime."
-
E.
Chad Michael Collins
Chad Michael Collins is an American actor best known for his roles in action and military-themed films, particularly the "Sniper" movie franchise.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.