Triple
T21598672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Make You Happy |
E532969
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Falling into You |
—
|
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: Falling into You | Statement: [Make You Happy, partOf, Falling into You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falling into You Context triple: [Make You Happy, partOf, Falling into You]
-
A.
Falling into You
chosen
Falling into You is a Grammy-winning 1996 pop album by Celine Dion that became one of her most commercially successful and critically acclaimed releases.
-
B.
Gotta Have You
"Gotta Have You" is a gentle, folk-pop love song by indie duo The Weepies, known for its intimate vocals and mellow, acoustic sound.
-
C.
The More Loving One
"The More Loving One" is a reflective lyric poem by W. H. Auden that meditates on unrequited love and the human capacity to care for an indifferent universe.
-
D.
Fallin’ for You
"Fallin’ for You" is a pop-acoustic love song by American singer-songwriter Colbie Caillat, released as a single from her second studio album, Breakthrough.
-
E.
Fall in Love
"Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae2fc908190b989f39e8cefffb2 |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.