Triple
T18505985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sybil |
E452197
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Wanna Be Where You Are |
—
|
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 Wanna Be Where You Are | Statement: [Sybil, notableWork, I Wanna Be Where You Are]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Be Where You Are Context triple: [Sybil, notableWork, I Wanna Be Where You Are]
-
A.
I Wanna Be Where You Are
chosen
"I Wanna Be Where You Are" is a soulful R&B song originally recorded by Michael Jackson in 1972 that has since become a frequently covered classic.
-
B.
Where I Wanna Be
"Where I Wanna Be" is an R&B song and album by Donell Jones, best known for its smooth, soulful sound and introspective lyrics about love and relationships.
-
C.
Where You Wanna Be
"Where You Wanna Be" is a song by American singer Brandy from her 2004 R&B album "Afrodisiac."
-
D.
I Wanna Be Around
"I Wanna Be Around" is a popular standard written by Johnny Mercer and Sadie Vimmerstedt, best known in its hit 1960s recording by Tony Bennett.
-
E.
If I Could Be Where You Are
"If I Could Be Where You Are" is a melancholic, ethereal ballad by Irish singer Enya that reflects her signature layered vocals and atmospheric new-age style.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53341b6c48190b7da42f5df923e81 |
completed | April 19, 2026, 7:55 p.m. |
Created at: April 10, 2026, 11:36 a.m.