Triple
T16729954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quality Control Music |
E406560
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Gloss Up |
E1230157
|
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: Gloss Up | Statement: [Quality Control Music, notableArtist, Gloss Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloss Up Context triple: [Quality Control Music, notableArtist, Gloss Up]
-
A.
Gloss Up
chosen
Gloss Up is an American rapper and songwriter known for her energetic Southern style and collaborations within the Quality Control Music roster.
-
B.
GLOSSOP
GLOSSOP is a market town in the High Peak district of Derbyshire, England, known for its industrial heritage and proximity to the Peak District National Park.
-
C.
Goop
Goop is a lifestyle and wellness brand known for its high-end products, health advice, and often controversial alternative medicine recommendations.
-
D.
Sonic lipstick
The sonic lipstick is a compact, high-tech gadget used by Sarah Jane Smith in the Doctor Who universe, functioning as a versatile tool and weapon disguised as a tube of lipstick.
-
E.
Killa Lipstick
"Killa Lipstick" is a track by rapper Big Doe Rehab, featured on his album of the same name.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3874ad5b481908199e4d99ac4225e |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a519a89081909456bb6fc25d9234 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:20 a.m.