Triple
T14014796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swae Lee |
E337175
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
Swang
"Swang" is a popular hip-hop single by the duo Rae Sremmurd, featuring melodic vocals from Swae Lee and known for its catchy hook and laid-back production.
|
E1074498
|
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: Swang | Statement: [Swae Lee, notableSong, Swang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swang Context triple: [Swae Lee, notableSong, Swang]
-
A.
Stang's Swang
"Stang's Swang" is an instrumental blues-rock track by Stevie Ray Vaughan and Double Trouble, featured on their 1984 album "Couldn't Stand the Weather."
-
B.
Swing da Cor
Swing da Cor is a popular Brazilian axé music song by Daniela Mercury that helped establish her as a major star in the early 1990s.
-
C.
Sway
Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
-
D.
Sway
Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
-
E.
Sway
Sway is a skilled and resourceful associate of car thief Memphis Raines in the film "Gone in 60 Seconds."
- 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: Swang Triple: [Swae Lee, notableSong, Swang]
Generated description
"Swang" is a popular hip-hop single by the duo Rae Sremmurd, featuring melodic vocals from Swae Lee and known for its catchy hook and laid-back production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Swang Target entity description: "Swang" is a popular hip-hop single by the duo Rae Sremmurd, featuring melodic vocals from Swae Lee and known for its catchy hook and laid-back production.
-
A.
Stang's Swang
"Stang's Swang" is an instrumental blues-rock track by Stevie Ray Vaughan and Double Trouble, featured on their 1984 album "Couldn't Stand the Weather."
-
B.
Swing da Cor
Swing da Cor is a popular Brazilian axé music song by Daniela Mercury that helped establish her as a major star in the early 1990s.
-
C.
Sway
Sway is a studio album by American alternative rock band Blue October, known for its emotionally charged lyrics and atmospheric rock sound.
-
D.
Sway
Sway is a skilled and resourceful associate of car thief Memphis Raines in the film "Gone in 60 Seconds."
-
E.
Sway
Sway is a Microsoft 365 presentation and storytelling app that lets users create interactive, web-based reports, lessons, and presentations.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbb4df903481908a760e6d7f47b15b |
completed | May 6, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb5a9abd88190b06abae5c7eff647 |
completed | May 6, 2026, 9:42 p.m. |
Created at: April 9, 2026, 10:19 p.m.