Triple
T10716364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Back to Basics Tour |
E252682
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | Slow Down Baby |
E252706
|
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: Slow Down Baby | Statement: [Back to Basics Tour, featuresSong, Slow Down Baby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Down Baby Context triple: [Back to Basics Tour, featuresSong, Slow Down Baby]
-
A.
Slow Down Baby
chosen
"Slow Down Baby" is a song by Christina Aguilera from her album "Back to Basics," blending retro-soul influences with contemporary pop and R&B.
-
B.
Sweet Baby
Sweet Baby was a late-1980s East Bay pop-punk band known for its melodic, upbeat sound and association with the Berkeley punk scene.
-
C.
So Long Baby
"So Long Baby" is a rock and roll song by Del Shannon, featured as a track on his album "Runaway with Del Shannon."
-
D.
Slow Slow Tune
"Slow Slow Tune" is a mellow, introspective track by My Morning Jacket from their album "Circuital," known for its slow tempo and emotional, atmospheric sound.
-
E.
Sugar Baby
"Sugar Baby" is a country song by the American duo Love and Theft, featured on their self-titled 2012 album.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3320448190899c56b02a7f5ffa |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d999278b8481909bc4e849b9580eb7 |
completed | April 11, 2026, 12:43 a.m. |
Created at: April 8, 2026, 9:13 p.m.