Triple
T23191092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Not My Kind of Girl |
E579734
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Can You Stand the Rain |
—
|
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: Can You Stand the Rain | Statement: [You're Not My Kind of Girl, followedBy, Can You Stand the Rain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can You Stand the Rain Context triple: [You're Not My Kind of Girl, followedBy, Can You Stand the Rain]
-
A.
Can You Stand the Rain
chosen
"Can You Stand the Rain" is a 1988 R&B ballad by New Edition, known for its lush harmonies and themes of enduring love through difficult times.
-
B.
Can You Stop the Rain
"Can You Stop the Rain" is a soulful R&B ballad by Peabo Bryson, known for its emotive vocals and themes of heartbreak and longing.
-
C.
Through the Rain
"Through the Rain" is a 2002 inspirational pop and R&B ballad by Mariah Carey about resilience and overcoming adversity.
-
D.
Let the Rain
"Let the Rain" is a pop song by Sara Bareilles from her album "Kaleidoscope Heart."
-
E.
The Rain
The Rain was an early Manchester band that eventually evolved into the globally successful rock group Oasis, featuring Noel Gallagher.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.