Triple
T22127366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You Camellia |
E546822
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Better With 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: Better With You | Statement: [Thank You Camellia, track, Better With You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Better With You Context triple: [Thank You Camellia, track, Better With You]
-
A.
Better With You
chosen
Better With You is a 2011 American sitcom starring Jesse McCartney that follows three couples at different stages of their romantic relationships.
-
B.
Anyone but You
Anyone but You is a 2023 romantic comedy film starring Glen Powell and Sydney Sweeney, loosely inspired by Shakespeare’s "Much Ado About Nothing."
-
C.
Walk with You
"Walk with You" is a song best known as the opening theme for the inspirational television drama series *Touched by an Angel*.
-
D.
Nobody Likes You
"Nobody Likes You" is a hidden, softer ballad section within Green Day’s song “Homecoming” on their album *American Idiot*, reflecting themes of isolation and self-doubt.
-
E.
Booksmart
Booksmart is a 2019 coming-of-age comedy film that follows two overachieving high school friends who decide to cram four years of missed fun into one wild night before graduation.
- 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.