Triple
T18028242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everywhere |
E431317
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Just to See You Smile |
—
|
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: Just to See You Smile | Statement: [Everywhere, hasTrack, Just to See You Smile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Just to See You Smile Context triple: [Everywhere, hasTrack, Just to See You Smile]
-
A.
Just to See You Smile
chosen
"Just to See You Smile" is a popular 1997 country song by Tim McGraw known for its heartfelt lyrics about selfless love and emotional sacrifice.
-
B.
When I See You Smile
"When I See You Smile" is a power ballad by the British-American rock band Bad English that became one of their biggest hits in the late 1980s.
-
C.
Wait Til You See My Smile
"Wait Til You See My Smile" is a soulful pop-R&B song by Alicia Keys that showcases her uplifting lyrics and powerful vocal performance.
-
D.
Give Me a Smile
"Give Me a Smile" is a song by Robin Gibb featured on his 1970 solo album *Robin's Reign*.
-
E.
I Want to Make You Smile
"I Want to Make You Smile" is a song recorded by Kenny Rogers, released as the B-side to his hit single "Coward of the County."
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be332a7081909124abdd98430a8a |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.