Triple
T12925635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Hearts |
E309237
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Jesus, Take the Wheel |
E309246
|
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: Jesus, Take the Wheel | Statement: [Some Hearts, hasTrack, Jesus, Take the Wheel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesus, Take the Wheel Context triple: [Some Hearts, hasTrack, Jesus, Take the Wheel]
-
A.
Jesus, Take the Wheel
chosen
"Jesus, Take the Wheel" is a Christian-themed country ballad by Carrie Underwood that became one of her signature hits, praised for its emotional storytelling and powerful vocals.
-
B.
I'm Not Jesus
"I'm Not Jesus" is a song by the American punk rock band Ramones from their 1987 album *Halfway to Sanity*.
-
C.
Till the Wheels Fall Off
"Till the Wheels Fall Off" is a song by American singer Kelis from her 2006 album "Kelis Was Here."
-
D.
Take the Wheel
"Take the Wheel" is a song featured on the bluegrass-influenced album "Tell the Ones I Love" by the Steep Canyon Rangers.
-
E.
Drivin' Wheel
"Drivin' Wheel" is a song by the American rock band White Shoes.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d39d4c81908fab65129f292862 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:42 p.m.