Triple
T19607102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can't Smile Without You |
E470634
|
entity |
| Predicate | partOfAlbum |
P35
|
FINISHED |
| Object | Even Now |
—
|
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: Even Now | Statement: [Can't Smile Without You, partOfAlbum, Even Now]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Even Now Context triple: [Can't Smile Without You, partOfAlbum, Even Now]
-
A.
Even Now
chosen
"Even Now" is a popular 1978 pop and adult contemporary album by Barry Manilow that features several of his signature hit songs.
-
B.
Even Now
"Even Now" is a popular 1978 soft rock ballad by American singer-songwriter Barry Manilow, known for its emotional lyrics about lingering love and regret.
-
C.
What Now
"What Now" is a song by Barbadian singer Rihanna from her seventh studio album, Unapologetic.
-
D.
From Now On
"From Now On" is a musical number featured in the stage adaptation of the story associated with "Leave It to Me!," contributing to its theatrical score.
-
E.
From Now On
From Now On is a disco and soul song by American singer Linda Clifford, recognized as one of her notable recordings from the late 1970s/early 1980s era.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c8aae8819086337e364724f1cb |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.