Triple
T14045814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dance Fever |
E337951
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | My Love |
E229616
|
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: My Love | Statement: [Dance Fever, track, My Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Love Context triple: [Dance Fever, track, My Love]
-
A.
My Love
"My Love" is an R&B song by Whitney Houston from her 2002 studio album *Just Whitney*.
-
B.
My Love
"My Love" is a pop ballad by Celine Dion, featured on her 2007 album *Taking Chances* and known for its emotional lyrics and powerful vocal performance.
-
C.
My Love
"My Love" is a 2006 electro-R&B single by Justin Timberlake featuring T.I., known for its futuristic production by Timbaland and its critical and commercial success.
-
D.
My Love
chosen
"My Love" is a soft rock ballad by the British-American band Wings, led by Paul McCartney, known for its lush orchestration and heartfelt lyrics.
-
E.
My Love
"My Love" is a 1965 pop song by Petula Clark that became one of her major international hits following the success of "Downtown."
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd099b7788190a7c309dba450e58f |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:20 p.m.