Triple
T21759217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Age of Adz |
E537119
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object | I Want To Be Well |
—
|
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 Well | Statement: [The Age of Adz, notableTrack, I Want To Be Well]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Want To Be Well Context triple: [The Age of Adz, notableTrack, I Want To Be Well]
-
A.
I Want To Be Well
chosen
"I Want To Be Well" is an intense, electronically driven song by Sufjan Stevens known for its raw emotional outburst and climactic use of explicit lyrics.
-
B.
I Wanna Be Well
"I Wanna Be Well" is a punk rock song by the Ramones, known for its fast tempo, sardonic lyrics, and appearance on their 1977 album Rocket to Russia.
-
C.
I Want to Be Happy
"I Want to Be Happy" is a jazz standard from the 1925 musical "No, No, Nanette," widely performed and recorded by numerous jazz artists.
-
D.
So Well
"So Well" is a song featured on the album "Nothing Is Wrong" by the American folk-rock band Dawes.
-
E.
Good to Be Me
"Good to Be Me" is a feel-good country-rock song by Uncle Kracker that celebrates self-acceptance and laid-back living.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d90eaa081909fce0549a9df1bf0 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 16, 2026, 6:50 p.m.