Triple
T22127378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You Camellia |
E546822
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Alright With Me (Live) |
—
|
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: Alright With Me (Live) | Statement: [Thank You Camellia, track, Alright With Me (Live)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alright With Me (Live) Context triple: [Thank You Camellia, track, Alright With Me (Live)]
-
A.
Alright with Me
chosen
"Alright with Me" is a pop-rock song by American Idol winner Kris Allen, known for its upbeat melody and feel-good, acoustic-driven style.
-
B.
At or With Me
"At or With Me" is a song by singer-songwriter Jack Johnson from his 2010 album "To the Sea."
-
C.
Here With Me
"Here With Me" is a contemporary Christian worship song by MercyMe that reflects themes of God's presence and comfort.
-
D.
You Keep It All In (live)
"You Keep It All In (live)" is a live performance recording of the song "You Keep It All In" by the British band The Beautiful South.
-
E.
Here with Me
"Here with Me" is a popular downtempo pop song by British singer-songwriter Dido, best known as the opening theme for the TV series "Roswell" and for helping launch her international career.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.