Triple
T19550390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Academy Is... |
E489183
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Slow Down |
E1163002
|
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: [The Academy Is..., notableSong, Slow Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Slow Down Context triple: [The Academy Is..., notableSong, 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
"Slow Down" is a popular Afrobeats/hiplife song by Ghanaian music duo R2Bees, known for its smooth melody and romantic theme.
-
C.
Slow Down
chosen
"Slow Down" is a song co-written by American songwriter Lindy Robbins, known for her work in contemporary pop music.
-
D.
Slow It Down
"Slow It Down" is a smooth, introspective R&B/hip-hop track by Phonte that showcases his soulful vocals and relationship-focused storytelling.
-
E.
Slo Down
Slo Down is an American rapper best known for his work with Nelly’s St. Louis-based hip hop collective and label Derrty Entertainment.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2feed48190ad49f64980dc885f |
completed | April 20, 2026, 2:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e8c84b88190be1790514c9c5481 |
completed | May 15, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:41 p.m.