Triple
T21723317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-4-One |
E536214
|
entity |
| Predicate | hitSingle |
P5044
|
FINISHED |
| Object | I Can Love You Like That |
—
|
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 Can Love You Like That | Statement: [All-4-One, hitSingle, I Can Love You Like That]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Can Love You Like That Context triple: [All-4-One, hitSingle, I Can Love You Like That]
-
A.
I Can Love You Like That
chosen
"I Can Love You Like That" is a romantic R&B ballad popularized in the mid-1990s by the vocal group All-4-One.
-
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.
Like I Love You
"Like I Love You" is Justin Timberlake's debut solo single, a Neptunes-produced R&B track featuring Clipse that introduced his post-*NSYNC sound.
-
D.
I Can Love You Better
"I Can Love You Better" is a country song by the Dixie Chicks that helped establish the group’s mainstream success in the late 1990s.
-
E.
Who You Love
"Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97150c08190861bdc35416665a9 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.