Triple
T1910042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandy (album) |
E38086
|
entity |
| Predicate | leadSingle |
P15292
|
FINISHED |
| Object | I Wanna Be Down |
E34883
|
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 Wanna Be Down | Statement: [Brandy (album), leadSingle, I Wanna Be Down]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Be Down Context triple: [Brandy (album), leadSingle, I Wanna Be Down]
-
A.
I Wanna Be Down
chosen
"I Wanna Be Down" is the 1994 debut single by American singer Brandy, a smooth R&B track that became a major hit and helped launch her music career.
-
B.
Bring Me Down
"Bring Me Down" is a song by Kanye West featuring Brandy from his critically acclaimed 2005 album *Late Registration*.
-
C.
Bad As I Wanna Be
Bad As I Wanna Be is the candid, bestselling autobiography of NBA star Dennis Rodman, detailing his unconventional life, controversial persona, and basketball career.
-
D.
When I’m Down
"When I’m Down" is a melancholic, jazz-tinged song by Chris Cornell that showcases his soulful vocals and introspective songwriting.
-
E.
How's It Goin' Down
"How's It Goin' Down" is a 1998 hip-hop single by DMX featuring Faith Evans that blends gritty street storytelling with a smooth, melodic hook.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b7095c8190ad7e472aada30d3d |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d5972881908856b75b324a1ad2 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.