Triple
T10955740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shower the People |
E258840
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object | I Can Dream of You |
E834240
|
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: I Can Dream of You | Statement: [Shower the People, hasBside, I Can Dream of You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Can Dream of You Context triple: [Shower the People, hasBside, I Can Dream of You]
-
A.
I Can Dream About You
chosen
"I Can Dream About You" is a 1984 pop/soul song by Dan Hartman that became a major hit after being featured on the soundtrack of the film *Streets of Fire*.
-
B.
If I Can Dream
"If I Can Dream" is a powerful, gospel-influenced ballad recorded by Elvis Presley that expresses hope and longing for a better, more peaceful world.
-
C.
Daydreamin'
"Daydreamin'" is a critically acclaimed hip-hop track by Lupe Fiasco featuring Jill Scott, known for its jazzy production and sharp social commentary.
-
D.
Dreamin’ of You
"Dreamin’ of You" is a song featured on Celine Dion’s hit 1996 album "Falling into You."
-
E.
So Much for Dreaming
So Much for Dreaming is a folk music album by the Canadian duo Ian and Sylvia, showcasing their signature harmonies and songwriting.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7710088e8819099e3272e26566c44 |
completed | April 9, 2026, 9:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c72196c8190b2336a130b64ab8e |
completed | April 17, 2026, 1:58 p.m. |
Created at: April 8, 2026, 9:23 p.m.