Triple
T13027514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Life |
E326345
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I Can’t Love You |
E835016
|
NE FINISHED |
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’t Love You | Statement: [My Life, hasTrack, I Can’t Love You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Can’t Love You Context triple: [My Life, hasTrack, I Can’t Love You]
-
A.
I Can’t Love
chosen
"I Can’t Love" is a song by the South Korean girl group Passwords.
-
B.
She Can't Love You
"She Can't Love You" is a song featured on Destiny's Child's 1999 album "The Writing's on the Wall."
-
C.
This Can't Be Love
"This Can't Be Love" is a popular 1938 show tune by composer Richard Rodgers and lyricist Lorenz Hart, introduced in the musical "The Boys from Syracuse" and later recorded by numerous jazz and pop artists.
-
D.
If I Can’t Love Her
"If I Can’t Love Her" is a powerful ballad sung by the Beast in the stage musical adaptation of Beauty and the Beast, expressing his despair and longing for redemption through love.
-
E.
You Don’t Love Me
"You Don’t Love Me" is a blues standard, popularized in rock by the Allman Brothers Band through their extended improvisational live performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c11f83d88190bc153dba75db0995 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:53 p.m.