Triple
T13027748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What’s the 411? |
E326350
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Slow Down |
E1001046
|
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 | Statement: [What’s the 411?, hasPart, Slow Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Down Context triple: [What’s the 411?, hasPart, Slow Down]
-
A.
Slow Down
"Slow Down" is a popular Afrobeats/R&B single by Ghanaian singer King Promise, known for its smooth melodies and romantic theme.
-
B.
Slow Down
chosen
"Slow Down" is a popular Afrobeats/hiplife song by Ghanaian music duo R2Bees, known for its smooth melody and romantic theme.
-
C.
Slow Down Heart
"Slow Down Heart" is a song by the Temptations featured on their debut album "Meet The Temptations."
-
D.
Slow Down Baby
"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.
-
E.
Slow and Low
"Slow and Low" is a hard-hitting, old-school hip hop track by the Beastie Boys, known for its heavy beats, shouted vocals, and party-centric lyrics.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c12191b08190abf4123995116ebc |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.