Triple
T15653258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busy Signal |
E376364
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Busy Signal |
E376364
|
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: Busy Signal | Statement: [Busy Signal, name, Busy Signal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busy Signal Context triple: [Busy Signal, name, Busy Signal]
-
A.
Busy Signal
chosen
Busy Signal is a Jamaican dancehall and reggae artist known for his energetic delivery and hits that blend hardcore dancehall with reggae and global pop influences.
-
B.
Waiting
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
-
C.
Waiting
"Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
-
D.
Get Busy
"Get Busy" is a 2003 dancehall hit single by Jamaican artist Sean Paul that became one of his most internationally successful and recognizable songs.
-
E.
Get Busy
"Get Busy" is a track by hip-hop band The Roots, featured on their politically charged 2008 album "Rising Down."
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed4d9f88190b7e24bf84c5a916f |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:15 a.m.