Triple
T21780206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | That Face! (album) |
E537689
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Since I Fell 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: Since I Fell for You | Statement: [That Face! (album), hasTrack, Since I Fell for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Since I Fell for You Context triple: [That Face! (album), hasTrack, Since I Fell for You]
-
A.
Since I Fell for You
chosen
"Since I Fell for You" is a classic blues ballad, widely interpreted by jazz and soul artists for its emotive melody and heartfelt lyrics.
-
B.
Fell for You
"Fell for You" is a pop-punk song by Green Day from their 2012 album ¡Uno!.
-
C.
If You Fall
"If You Fall" is a pop single by American singer Ray Dalton, known for its uplifting melody and soulful vocal performance.
-
D.
Fall in Love with Me
"Fall in Love with Me" is a song featured on Lana Del Rey’s album "Lust for Life."
-
E.
’Til I Fell in Love with You
’Til I Fell in Love with You is a blues-infused song by Bob Dylan, featured on his acclaimed 1997 album Time Out of Mind.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462cae6481908d3e7f71683d8921 |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.