Triple
T630185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Can Change |
E15908
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Get Lifted |
E1037
|
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: Get Lifted | Statement: [I Can Change, partOf, Get Lifted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Lifted Context triple: [I Can Change, partOf, Get Lifted]
-
A.
Get Lifted
chosen
Get Lifted is the Grammy-winning 2004 debut studio album by American singer-songwriter John Legend, blending soul, R&B, and hip hop influences.
-
B.
Let’s Get Lifted Again
"Let’s Get Lifted Again" is a follow-up or companion release to John Legend’s debut album "Get Lifted," featuring additional tracks and alternate versions that expand on the original record’s soulful R&B style.
-
C.
Let’s Get Lifted (Intro)
"Let’s Get Lifted (Intro)" is the opening track to John Legend’s debut album "Get Lifted," setting the soulful, romantic tone for the record.
-
D.
Get Happy
"Get Happy" is a classic upbeat song closely associated with Judy Garland, celebrated for its joyful gospel-inflected style and iconic performance in the film "Summer Stock."
-
E.
If Not Higher
"If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec051bc8190b3e3f8651a367d77 |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4d84d8819095afbf0ee9c7bd82 |
completed | March 2, 2026, 10:54 a.m. |
Created at: March 1, 2026, 7:35 p.m.