Triple
T17380371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Push and Shove |
E422550
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Busy Signal |
—
|
NE NERFINISHED |
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: [Push and Shove, notableCollaboration, Busy Signal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busy Signal Context triple: [Push and Shove, notableCollaboration, 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 an Indian drama film featuring Naseeruddin Shah that explores the emotional struggles of two strangers coping with their spouses in comas.
-
C.
Waiting
"Waiting" is a critically acclaimed novel by Chinese-American author Ha Jin that explores love, duty, and personal freedom in post-revolutionary China.
-
D.
Waiting
"Waiting" is a track from the album "Erotica," likely contributing to its sensual and atmospheric musical narrative.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8559748190844c506f6f9230d4 |
completed | April 19, 2026, 2:14 a.m. |
Created at: April 10, 2026, 5:45 a.m.