Triple
T21955880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Only Have Eyes for You |
E542184
|
entity |
| Predicate | hasNotableLyric |
P18290
|
FINISHED |
| Object | "I only have eyes for you" |
—
|
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: "I only have eyes for you" | Statement: [I Only Have Eyes for You, hasNotableLyric, "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: [I Only Have Eyes for You, hasNotableLyric, "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.
Eyes on You
"Eyes on You" is a song by the American rock band Walls.
-
C.
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.
-
D.
In Your Eyes
In Your Eyes is a 2014 romantic science-fiction film written by Joss Whedon about two strangers who share a mysterious telepathic bond.
-
E.
In Your Eyes
"In Your Eyes" is a renowned 1986 pop-rock ballad by Peter Gabriel, celebrated for its emotional depth and iconic use in the film *Say Anything...*.
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124404f38819080bae736a52a51cd |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:59 p.m.