Triple
T23373688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emotions |
E593547
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | So I Can Love You |
—
|
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: So I Can Love You | Statement: [Emotions, notableWork, So I Can Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So I Can Love You Context triple: [Emotions, notableWork, So I Can Love You]
-
A.
So I Can Love You
chosen
"So I Can Love You" is a 1969 soul single by The Emotions that became one of their early signature hits and helped establish the group’s career.
-
B.
I Can Love You
"I Can Love You" is an R&B song by Mary J. Blige from her 1997 album "Share My World," featuring rapper Lil' Kim.
-
C.
And I Love You So
"And I Love You So" is a romantic ballad written and first recorded by American singer-songwriter Don McLean, later popularized by artists such as Perry Como and Elvis Presley.
-
D.
I Love You So
"I Love You So" is a popular song written by American lyricist and vaudevillian Bert Kalmar.
-
E.
Why I Love You
"Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b0bc3c8190b1093f7ea29d015c |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.