Triple
T13747895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathless |
E330264
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Forever in Love |
E330263
|
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: Forever in Love | Statement: [Breathless, hasTrack, Forever in Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forever in Love Context triple: [Breathless, hasTrack, Forever in Love]
-
A.
Forever in Love
"Forever in Love" is a popular Eurodance track by Belgian group Sylver, known for its melodic trance sound and emotional vocals.
-
B.
Forever in Love
chosen
"Forever in Love" is a smooth jazz instrumental ballad by saxophonist Kenny G that became one of his signature hits and won the Grammy Award for Best Instrumental Composition.
-
C.
Everlasting Love
"Everlasting Love" is a popular song notably covered by British jazz-pop musician Jamie Cullum, known for its upbeat, soulful style and enduring appeal.
-
D.
Everlasting Love
Everlasting Love is a popular song by British singer Rufus, recognized as one of his standout musical works.
-
E.
Everlasting Love
Everlasting Love is a 1989 synth-pop song by British musician Howard Jones, known for its upbeat melody and romantic lyrics.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06d9fd48190a10b86a0d68fac70 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:08 p.m.