Triple
T22389634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Love |
E553479
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object | If I Let You Go (Live) |
—
|
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: If I Let You Go (Live) | Statement: [My Love, hasBside, If I Let You Go (Live)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Let You Go (Live) Context triple: [My Love, hasBside, If I Let You Go (Live)]
-
A.
If I Let You Go
chosen
"If I Let You Go" is a pop ballad by Irish boy band Westlife, released in 1999 as one of their early hit singles that helped establish their international fame.
-
B.
Letting You Go
"Letting You Go" is a song by Tom Petty and the Heartbreakers from their 1981 album "Hard Promises."
-
C.
Can't Let You Go
"Can't Let You Go" is a song by the American rock band Night Ranger from their 1986 album *When Seconds Count*.
-
D.
Can’t Let You Go
"Can’t Let You Go" is an R&B song written and performed by American singer-songwriter Johntá Austin.
-
E.
Can’t Let You Go
"Can’t Let You Go" is a popular Afrobeats/hip-hop love song by Ghanaian rapper Sarkodie, celebrated for its romantic theme and melodic fusion of rap and singing.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.