Triple
T18028235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everywhere |
E431317
|
entity |
| Predicate | previousWork |
P9710
|
FINISHED |
| Object | All I Want |
—
|
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: All I Want | Statement: [Everywhere, previousWork, All I Want]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All I Want Context triple: [Everywhere, previousWork, All I Want]
-
A.
All I Want
"All I Want" is a 1995 country music album by Tim McGraw that helped solidify his mainstream success with hits like "I Like It, I Love It."
-
B.
All I Want
"All I Want" is a song by the American rock band Blue, known for its pop-rock style and melodic hooks.
-
C.
All I Want
"All I Want" is a song by Irish blues-rock guitarist Gary Moore, featured on his 1983 album "Victims of the Future."
-
D.
All I Want
chosen
"All I Want" is a song by Joni Mitchell from her acclaimed 1971 album "Blue," noted for its intimate lyrics and sparse, emotive arrangement.
-
E.
All I Want for Christmas
"All I Want for Christmas" is a 1991 family Christmas comedy film centered on two siblings who scheme to reunite their divorced parents during the holiday season.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be332a7081909124abdd98430a8a |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.