Triple
T7972108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Put Yourself in My Shoes |
E185347
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Back to Back |
E530213
|
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: Back to Back | Statement: [Put Yourself in My Shoes, hasPart, Back to Back]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Back to Back Context triple: [Put Yourself in My Shoes, hasPart, Back to Back]
-
A.
“Back to Back”
chosen
“Back to Back” is a jazz album featuring alto saxophonist Johnny Hodges in a classic small-group setting, celebrated for its blues-infused swing and elegant ensemble playing.
-
B.
Takin' It Back
"Takin' It Back" is a pop album by Meghan Trainor that marks her return to a retro-inspired sound and themes of self-confidence and empowerment.
-
C.
Back at One
"Back at One" is a popular R&B ballad and album by American singer Brian McKnight, known for its smooth vocals and romantic, step-by-step love lyrics.
-
D.
Diamond in the Back
"Diamond in the Back" is a track from Ludacris's 2003 hip hop album "Chicken-n-Beer," known for its laid-back groove and Southern rap style.
-
E.
Bounce Back
"Bounce Back" is a 2016 hit single by American rapper Big Sean known for its motivational theme about recovering from setbacks and its strong commercial success.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd476108190988a75653a5c56d6 |
completed | March 31, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0b207ec8190a1a78e77a6bdb15e |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:13 p.m.