Triple
T20434465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Scenes |
E501216
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Peel Me a Grape |
—
|
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: Peel Me a Grape | Statement: [Love Scenes, hasTrack, Peel Me a Grape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peel Me a Grape Context triple: [Love Scenes, hasTrack, Peel Me a Grape]
-
A.
"Peel Me a Grape"
chosen
"Peel Me a Grape" is a jazz standard best known for Diana Krall’s sultry, playful interpretation that showcases her smooth vocals and sophisticated phrasing.
-
B.
Squeeze Me
"Squeeze Me" is a classic jazz standard composed by Fats Waller that has become a staple of the early 20th-century American songbook.
-
C.
Cherry Pie
"Cherry Pie" is a 1990 glam metal album by American band Warrant, best known for its catchy title track and prominent place in late-’80s/early-’90s hair metal culture.
-
D.
Sun in My Mouth
"Sun in My Mouth" is an ethereal, experimental song by Björk that sets an e.e. cummings poem to intricate electronic and orchestral arrangements.
-
E.
Get Me Some
"Get Me Some" is a song by the American rock band Weezer from their 2009 album *Raditude*.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ecf7ac81908e9c2ef4348fb281 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.