Triple
T13735659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digi Snacks |
E329938
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | David Banner |
E345631
|
NE FINISHED |
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: David Banner | Statement: [Digi Snacks, producer, David Banner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Banner Context triple: [Digi Snacks, producer, David Banner]
-
A.
David Banner
chosen
David Banner is an American rapper, record producer, and actor known for his Southern hip hop sound and socially conscious activism.
-
B.
Pharoahe Monch
Pharoahe Monch is an American rapper and lyricist known for his complex wordplay, intricate rhyme schemes, and influential work in underground hip-hop.
-
C.
Busta Rhymes
Busta Rhymes is an American rapper known for his rapid-fire delivery, energetic style, and influential role in 1990s and 2000s hip-hop.
-
D.
Cormega
Cormega is an American rapper from Queensbridge, New York, known for his gritty street narratives and association with the early Nas-led hip-hop collective The Firm.
-
E.
Danny Brown
Danny Brown is an American rapper known for his eccentric style, high-pitched delivery, and critically acclaimed albums like "XXX" and "Atrocity Exhibition."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d68da04819089c95d9bfedc7496 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.