Triple
T20409687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dylanesque |
E500555
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Make You Feel My Love |
—
|
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: Make You Feel My Love | Statement: [Dylanesque, track, Make You Feel My Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make You Feel My Love Context triple: [Dylanesque, track, Make You Feel My Love]
-
A.
Make You Feel My Love
chosen
"Make You Feel My Love" is a popular ballad written and originally recorded by Bob Dylan, later widely known through hit cover versions by artists such as Adele and Garth Brooks.
-
B.
All of Me
All of Me is a 1984 fantasy-comedy film starring Steve Martin as a lawyer whose body is comically shared with the soul of a deceased heiress.
-
C.
All of Me
All of Me is a 2014 studio album by American Christian rock band Sanctus Real that blends melodic rock with faith-centered lyrics.
-
D.
All of Me
"All of Me" is a 2013 piano-driven R&B ballad by John Legend that became one of his signature love songs and a global hit.
-
E.
All of Me
"All of Me" is a studio album by American R&B singer Estelle that showcases her blend of soulful vocals, hip hop influences, and contemporary pop production.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a3e0c1c8190be39d7f09c839dfa |
completed | April 20, 2026, 7:10 p.m. |
Created at: April 16, 2026, 11:29 a.m.