Triple
T22655619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crazy for You |
E559217
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | But Not for 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: But Not for Me | Statement: [Crazy for You, featuresSong, But Not for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: But Not for Me Context triple: [Crazy for You, featuresSong, But Not for Me]
-
A.
But Not for Me
chosen
"But Not for Me" is a popular jazz and pop standard composed by George Gershwin with lyrics by Ira Gershwin, widely recorded by numerous artists since its 1930 debut.
-
B.
Why Not Me
"Why Not Me" is a hit country song and album by the mother-daughter duo The Judds that helped establish them as major stars in the 1980s.
-
C.
Nobody but Me
"Nobody but Me" is a studio album by Canadian singer Michael Bublé that blends pop, jazz, and soul influences and features both original songs and classic covers.
-
D.
Nobody But Me
"Nobody But Me" is a country song by Blake Shelton, released as a single from his early 2000s album "Blake Shelton's Barn & Grill."
-
E.
It’s Not Me
"It’s Not Me" is a song by American rock band 3 Doors Down from their 2005 album *Seventeen Days*.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765b93dc8190a0357dd4b6ae524a |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:06 p.m.