Triple
T20419396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satch Plays Fats |
E500806
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Want to Be Happy |
—
|
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 Want to Be Happy | Statement: [Satch Plays Fats, hasTrack, I Want to Be Happy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Want to Be Happy Context triple: [Satch Plays Fats, hasTrack, I Want to Be Happy]
-
A.
I Want to Be Happy
chosen
"I Want to Be Happy" is a jazz standard from the 1925 musical "No, No, Nanette," widely performed and recorded by numerous jazz artists.
-
B.
I Don’t Want to Be Happy
"I Don’t Want to Be Happy" is a song featured on the 1994 album "Testify" by American Christian rock band P.O.D.
-
C.
If You Want to Make Me Happy
"If You Want to Make Me Happy" is a song featured on the album "Good Time."
-
D.
Sometimes I’m Happy
"Sometimes I’m Happy" is a popular jazz standard from the 1920s that has been widely recorded and performed by leading swing and big band artists.
-
E.
I Want To Be Me
"I Want To Be Me" is a short film featuring actress Miracle Laurie that explores themes of identity and self-acceptance.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.