Triple
T9396662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ram |
E226159
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Smile Away |
E225558
|
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: Smile Away | Statement: [Ram, hasTrack, Smile Away]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smile Away Context triple: [Ram, hasTrack, Smile Away]
-
A.
Smile Away
chosen
"Smile Away" is a rock song by Paul McCartney and Wings, known for its upbeat tempo and playful lyrics.
-
B.
Smile Please
"Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
-
C.
Put On a Smile
"Put On a Smile" is a soulful, retro-inspired R&B ballad by Silk Sonic, the duo of Bruno Mars and Anderson .Paak, featured on their collaborative album *An Evening with Silk Sonic*.
-
D.
Smile Like You Mean It
"Smile Like You Mean It" is a song by American rock band The Killers from their debut album "Hot Fuss," known for its synth-driven sound and reflective lyrics.
-
E.
Just Smile!
Just Smile! is the cheerful marketing slogan used by Chiquita Brands International to promote its bananas and other produce.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51528b2481908ca1f1840d2594b4 |
completed | April 1, 2026, 5:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10114e4d08190b4f465f9e56f9ffd |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.