Triple
T5091979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Total |
E114771
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Kissin’ You |
E494001
|
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: Kissin’ You | Statement: [Total, notableSingle, Kissin’ You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kissin’ You Context triple: [Total, notableSingle, Kissin’ You]
-
A.
Kissin’ You
chosen
"Kissin’ You" is an R&B ballad by the American girl group Total, known for its smooth harmonies and romantic, slow-jam style.
-
B.
Kiss Me
"Kiss Me" is the smooth, jazz-influenced theme song best known for its use in the opening credits of the classic American sitcom *The Cosby Show*.
-
C.
Just One Kiss
"Just One Kiss" is a song featured on the album "The Way I See It."
-
D.
One Kiss
"One Kiss" is a song featured on the 1980 new wave album *Barking at Airplanes* by American singer-songwriter Kim Carnes.
-
E.
Kiss the Girl
"Kiss the Girl" is a popular romantic song from Disney's animated film The Little Mermaid, featured during a scene where Sebastian encourages Prince Eric to kiss Ariel.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7541b2bc8190b58c2a23733b7825 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec360a5848190a243da780b53559c |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:40 p.m.