Triple
T11878447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six |
E282589
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Get Down |
E547176
|
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: Get Down | Statement: [Six, featuresSong, Get Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Down Context triple: [Six, featuresSong, Get Down]
-
A.
Get Down
chosen
"Get Down" is a 1994 hip hop single by Craig Mack, best known for its remix featuring The Notorious B.I.G. and its classic Bad Boy Records sound.
-
B.
Stay Down
"Stay Down" is a track by American rapper Big Sean from his critically acclaimed 2015 album *Dark Sky Paradise*.
-
C.
Still Down
"Still Down" is a music production or song project associated with American record producer Happy Perez, known for his work in R&B and hip-hop.
-
D.
Down There
"Down There" is a 1956 crime novel by David Goodis, known for its bleak, noir portrayal of a former concert pianist drawn into the criminal underworld and later adapted into François Truffaut’s film "Shoot the Piano Player."
-
E.
Turn Down for What
"Turn Down for What" is a high-energy electronic dance and hip-hop party anthem by DJ Snake and Lil Jon that became widely popular for its explosive beat and viral music video.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be1b6a5c81909a18c54205dda09c |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281d8c65081908ebaf4bff5670c47 |
completed | April 29, 2026, 10:10 p.m. |
Created at: April 8, 2026, 9:44 p.m.