Triple
T20334442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kima, Keisha & Pam |
E492568
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Don't Wanna |
—
|
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 Don't Wanna | Statement: [Kima, Keisha & Pam, hasTrack, I Don't Wanna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Don't Wanna Context triple: [Kima, Keisha & Pam, hasTrack, I Don't Wanna]
-
A.
I Don’t Wanna
chosen
"I Don’t Wanna" is a song by the band Hotspot.
-
B.
I Don't Want To
"I Don't Want To" is a song featured on the album "Secrets," likely a pop or R&B track reflecting the record’s themes of emotional vulnerability and personal relationships.
-
C.
I Just Wanna
"I Just Wanna" is a song featured on the album "Come Home with Me" by American rapper Cam'ron.
-
D.
I Don't Want to Be
"I Don't Want to Be" is a 2003 pop-rock song by Gavin DeGraw best known as the theme song for the television series One Tree Hill.
-
E.
I Don't Wanna Be Me
"I Don't Wanna Be Me" is a 2003 gothic metal song by American band Type O Negative, known for its darkly melodic sound and introspective, self-loathing lyrics.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ea8a088190b2b37accd6b24277 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.