Triple
T16461632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global |
E399819
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object |
Smooth Chill
Smooth Chill is a laid-back, downtempo music radio brand known for its relaxing, ambient, and chillout sound.
|
E1215210
|
NE FINISHED |
How this triple was built (4 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: Smooth Chill | Statement: [Global, ownsBrand, Smooth Chill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smooth Chill Context triple: [Global, ownsBrand, Smooth Chill]
-
A.
Smooth
"Smooth" is a mid-1990s R&B/hip-hop soul track by Brown Sugar known for its laid-back groove and polished production.
-
B.
Smooth
Smooth is a track featured on Tha Dogg Pound's debut album "Tha Dogg Pound Gangsta LP."
-
C.
Smooth
"Smooth" is a Grammy-winning Latin rock and pop song by Santana featuring Rob Thomas, renowned for its infectious groove and massive late-1990s chart success.
-
D.
Smooth Operator
"Smooth Operator" is a smooth jazz-influenced pop song by Sade, known for its sultry vocals and sophisticated, late-night atmosphere that helped define the band's signature sound in the 1980s.
-
E.
Nice & Smooth
Nice & Smooth is an American hip hop duo known for their playful lyrics, melodic hooks, and contributions to the late 1980s and early 1990s East Coast rap scene.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Smooth Chill Triple: [Global, ownsBrand, Smooth Chill]
Generated description
Smooth Chill is a laid-back, downtempo music radio brand known for its relaxing, ambient, and chillout sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Smooth Chill Target entity description: Smooth Chill is a laid-back, downtempo music radio brand known for its relaxing, ambient, and chillout sound.
-
A.
Smooth
"Smooth" is a Grammy-winning Latin rock and pop song by Santana featuring Rob Thomas, renowned for its infectious groove and massive late-1990s chart success.
-
B.
Smooth
"Smooth" is a mid-1990s R&B/hip-hop soul track by Brown Sugar known for its laid-back groove and polished production.
-
C.
Smooth
Smooth is a track featured on Tha Dogg Pound's debut album "Tha Dogg Pound Gangsta LP."
-
D.
Smooth Operator
"Smooth Operator" is a smooth jazz-influenced pop song by Sade, known for its sultry vocals and sophisticated, late-night atmosphere that helped define the band's signature sound in the 1980s.
-
E.
Nice & Smooth
Nice & Smooth is an American hip hop duo known for their playful lyrics, melodic hooks, and contributions to the late 1980s and early 1990s East Coast rap scene.
- F. None of above. chosen
Provenance (5 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f555f6081908b1f0d524b6fb9a7 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050c5d4548190a674c1c19f08a9fd |
completed | May 10, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051a7ae208190b33d42cc8d4bb21f |
completed | May 10, 2026, 9:36 a.m. |
Created at: April 10, 2026, 5:10 a.m.