Triple
T18047028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Train (Nine to Five) |
E431805
|
entity |
| Predicate | A-sideOf |
P34740
|
FINISHED |
| Object | Don’t Change Me |
—
|
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: Don’t Change Me | Statement: [Morning Train (Nine to Five), A-sideOf, Don’t Change Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don’t Change Me Context triple: [Morning Train (Nine to Five), A-sideOf, Don’t Change Me]
-
A.
Don’t Change Me
chosen
"Don’t Change Me" is a song that appears as the B-side to Sheena Easton’s hit single "Morning Train (Nine to Five)."
-
B.
Change Me
"Change Me" is a single from the album "The Return."
-
C.
It Don’t Have to Change
"It Don’t Have to Change" is a soulful R&B track by John Legend from his debut album "Get Lifted," showcasing his smooth vocals and reflective songwriting.
-
D.
Don’t Ever Change
Don’t Ever Change is a pop song written by Gerry Goffin and Carole King that has been recorded by several artists, including The Crickets and The Beatles.
-
E.
Change It
"Change It" is a track featured on the album "Soul to Soul" by Stevie Ray Vaughan and Double Trouble.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff2d3c48190875ffe9c042d3ec0 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.