Triple
T12259489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once Upon a Time |
E292183
|
entity |
| Predicate | featuresArtist |
P1952
|
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: [Once Upon a Time, featuresArtist, Busy Signal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Busy Signal Context triple: [Once Upon a Time, featuresArtist, 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.
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.
-
C.
Get Busy
"Get Busy" is a track by hip-hop band The Roots, featured on their politically charged 2008 album "Rising Down."
-
D.
Signal
Signal is a Canadian publishing imprint known for releasing thought-provoking non-fiction works on contemporary issues.
-
E.
Signal
Signal is a privacy-focused messaging app known for its strong end-to-end encryption and open-source protocol.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cd964ec81908241d2b9a96d1025 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ac1b5148190838b782848e3fa36 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.