Triple
T14014915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Won't Be Late |
E337178
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Swae Lee discography |
E67377
|
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: Swae Lee discography | Statement: [Won't Be Late, partOf, Swae Lee discography]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swae Lee discography Context triple: [Won't Be Late, partOf, Swae Lee discography]
-
A.
Swae Lee
chosen
Swae Lee is an American rapper, singer, and songwriter best known as one half of the hip hop duo Rae Sremmurd and for his melodic, genre-blending solo work and hit collaborations.
-
B.
Suga Free
Suga Free is an American West Coast rapper known for his rapid-fire, conversational flow and frequent collaborations with DJ Quik.
-
C.
Lil Boat
"Lil Boat" is the debut mixtape by American rapper Lil Yachty, known for its playful, melodic style and for helping launch him to mainstream recognition.
-
D.
Wale
Wale is an American rapper and songwriter known for his witty wordplay, poetic lyricism, and hits like "Lotus Flower Bomb" and "Bad."
-
E.
Laino
Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
- 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_69fbacac12608190a5e3d970ec3cda45 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.