Triple
T23308760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucky Day |
E590523
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Why Me Lord (Remix) |
—
|
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: Why Me Lord (Remix) | Statement: [Lucky Day, hasTrack, Why Me Lord (Remix)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Why Me Lord (Remix) Context triple: [Lucky Day, hasTrack, Why Me Lord (Remix)]
-
A.
Why Me Lord
chosen
"Why Me Lord" is a popular gospel-influenced country song, best known through Kris Kristofferson’s 1972 hit recording reflecting on faith, gratitude, and personal unworthiness.
-
B.
Oh My Lord
Oh My Lord is a song by the British rock band The Pretty Reckless from their album "Who You Selling For."
-
C.
The Lord (Reprise)
"The Lord (Reprise)" is a brief concluding musical piece by Paul Simon that revisits and reflects on the central spiritual themes of his song cycle Seven Psalms.
-
D.
Hear Me Lord
"Hear Me Lord" is a spiritually themed song by George Harrison, featured on his acclaimed 1970 solo album "All Things Must Pass."
-
E.
If You Want Me (Remix)
"If You Want Me (Remix)" is a remixed R&B track by the American girl group Kima, Keisha & Pam, known from the group Total.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197292fd08190bc364e1433dde213 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:05 p.m.