Triple
T22876947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buhloone Mindstate |
E567349
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object | Shortie No Mass |
—
|
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: Shortie No Mass | Statement: [Buhloone Mindstate, features, Shortie No Mass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shortie No Mass Context triple: [Buhloone Mindstate, features, Shortie No Mass]
-
A.
Shortie No Mass
chosen
Shortie No Mass is an American rapper known for her collaborations with The Roots and appearances on their early 1990s hip-hop recordings.
-
B.
Shorty
Shorty is a lesser-known musical act connected to the experimental rock band U.S. Maple, likely sharing its avant-garde, noise-influenced style.
-
C.
Shorty
Shorty is the stage name of Antonio "Shorty" Moore, an entertainer known for performing under this moniker.
-
D.
Shorty
Shorty is one of the sled dogs featured in the survival adventure film "Eight Below."
-
E.
Short n’ Sweet
Short n’ Sweet is a pop album by American singer Sabrina Carpenter, showcasing her playful lyricism and polished, hook-heavy sound.
- 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_69e24589d8348190b96422d13a678bc1 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17f5966c08190a9ded9b19b166112 |
completed | April 29, 2026, 3:47 a.m. |
Created at: April 17, 2026, 3:39 p.m.