Triple
T5727523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ira Gershwin |
E126300
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | But Not for Me |
E119261
|
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: But Not for Me | Statement: [Ira Gershwin, notableWork, But Not for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: But Not for Me Context triple: [Ira Gershwin, notableWork, 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.
If Not for You
"If Not for You" is a 1970 folk-rock song written and first recorded by Bob Dylan, later popularized by George Harrison and Olivia Newton-John.
-
C.
She’s Not for You
"She’s Not for You" is a country song by Willie Nelson featured on his 1973 album *Shotgun Willie*.
-
D.
Everything to Me
"Everything to Me" is an R&B ballad by American singer Monica that showcases her powerful vocals and emotional storytelling about love and devotion.
-
E.
She Loves Me Not
"She Loves Me Not" is a 2002 nu metal/alternative rock single by Papa Roach known for its heavy riffs and themes of emotional turmoil and broken relationships.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250c0ca081909340abae204cc226 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8a1d08819080f071eb22db54d3 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.