Triple
T20409557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boys and Girls |
E500552
|
entity |
| Predicate | single |
P3283
|
FINISHED |
| Object | Don’t Stop the Dance |
—
|
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: Don’t Stop the Dance | Statement: [Boys and Girls, single, Don’t Stop the Dance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don’t Stop the Dance Context triple: [Boys and Girls, single, Don’t Stop the Dance]
-
A.
Don’t Stop the Dance
chosen
"Don’t Stop the Dance" is a smooth, jazz-inflected pop song by Bryan Ferry, noted for its sophisticated production and prominent saxophone lines.
-
B.
Got to Dance
Got to Dance is a televised dance competition show in which performers of various styles audition and compete before judges and a public vote.
-
C.
Time to Dance
"Time to Dance" is a song by Panic! at the Disco from their debut studio album, blending theatrical pop-punk with lyrics inspired by the novel "Invisible Monsters" by Chuck Palahniuk.
-
D.
One More Dance
"One More Dance" is a song featured in the 1932 Jerome Kern and Oscar Hammerstein II musical "Music in the Air."
-
E.
Get Up and Dance
"Get Up and Dance" is a song featured on the album "Full Circle."
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.