Triple
T18482378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danity Kane |
E451591
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ride for You |
—
|
NE NERFINISHED |
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: Ride for You | Statement: [Danity Kane, notableWork, Ride for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ride for You Context triple: [Danity Kane, notableWork, Ride for You]
-
A.
Ride for You
chosen
"Ride for You" is an R&B ballad by the American girl group Danity Kane from their self-titled debut album, showcasing their harmonies and emotional vocal style.
-
B.
Ride For You
"Ride For You" is a popular Nigerian hip-hop/afrobeat song by rapper Phyno, known for its melodic blend of rap and Afropop elements.
-
C.
Let's Ride
"Let's Ride" is a track by West Coast rapper The Game from his 2006 album "Doctor's Advocate."
-
D.
Ride It
"Ride It" is a popular R&B-influenced pop song by British singer Jay Sean that became one of his breakout international hits.
-
E.
Let’s Ride
"Let’s Ride" is a 1998 R&B/hip-hop single by Montel Jordan featuring Master P and Silkk the Shocker, known for its smooth groove and party-themed lyrics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d49a1881908cc2ad6132953c96 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.