Triple
T14014988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rae Sremmurd |
E337180
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Swang |
E1074498
|
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: Swang | Statement: [Rae Sremmurd, notableWork, Swang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swang Context triple: [Rae Sremmurd, notableWork, Swang]
-
A.
Swang
chosen
"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.
-
B.
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."
-
C.
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.
-
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.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f396b648190927e5718c3bb6511 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb653fedc81908cdd0dde2d3f3329 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.