Triple
T21928393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Therapy |
E541500
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I’m Alright |
—
|
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: I’m Alright | Statement: [Therapy, hasTrack, I’m Alright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I’m Alright Context triple: [Therapy, hasTrack, I’m Alright]
-
A.
I’m Alright
"I'm Alright" is a 1980 rock song by Kenny Loggins, best known as the signature theme from the comedy film *Caddyshack*.
-
B.
I’m Alright
"I'm Alright" is a 1985 folk-rock album by American singer-songwriter Loudon Wainwright III, noted for its witty, introspective songwriting and critical acclaim, including a Grammy nomination.
-
C.
I’m Alright
"I'm Alright" is a popular country song and album by Jo Dee Messina that helped establish her as a leading female artist in late-1990s country music.
-
D.
I’m All Right
"I’m All Right" is a blues-influenced rock song performed by the Rolling Stones, featured on their mid-1960s album "Out of Our Heads."
-
E.
It’s Alright
"It’s Alright" is a song by Black Sabbath, notable for featuring drummer Bill Ward on lead vocals and showcasing a softer, more melodic side of the band.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fcd08481909fecbb2cf0405933 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:46 p.m.