Triple
T11973117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Dubin |
E284969
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Only Have Eyes for You |
E542184
|
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: I Only Have Eyes for You | Statement: [Al Dubin, notableWork, I Only Have Eyes for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Only Have Eyes for You Context triple: [Al Dubin, notableWork, I Only Have Eyes for You]
-
A.
I Only Have Eyes for You
chosen
"I Only Have Eyes for You" is a popular American song from the 1930s, best known as a romantic jazz and pop standard that has been widely recorded and performed.
-
B.
I've Got My Eyes on You
"I've Got My Eyes on You" is the B-side song to Ricky Nelson's 1959 single "Teen Age Idol," contributing to his early rock and roll/pop discography.
-
C.
Eyes on You
"Eyes on You" is a song by the American rock band Walls.
-
D.
Eyes On You
"Eyes On You" is a 2004 R&B-pop single by British singer Jay Sean that became one of his early breakthrough hits.
-
E.
My Lovin' Eyes
"My Lovin' Eyes" is a song by singer-songwriter Carole King from her 1974 album *Wrap Around Joy*.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9039107e48190ae4c4efd6257dd3c |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4597cf818819089b0d897c236b87b |
completed | May 1, 2026, 7:42 a.m. |
Created at: April 8, 2026, 9:46 p.m.