Triple
T2289560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bionic (album) |
E51470
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lift Me Up |
E229443
|
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: Lift Me Up | Statement: [Bionic (album), hasPart, Lift Me Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lift Me Up Context triple: [Bionic (album), hasPart, Lift Me Up]
-
A.
Lift Me Up
chosen
"Lift Me Up" is an emotional ballad performed by Rihanna, best known as the lead single from the soundtrack of the Marvel film "Black Panther: Wakanda Forever."
-
B.
Pick Yourself Up
"Pick Yourself Up" is a popular 1936 jazz standard with music by Jerome Kern and lyrics by Dorothy Fields, best known for its uplifting message and association with Fred Astaire.
-
C.
Get on Up
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
D.
Keep Ya Head Up
"Keep Ya Head Up" is a socially conscious hip-hop song by Tupac Shakur that addresses themes of misogyny, poverty, and resilience, particularly uplifting Black women and single mothers.
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1e84ac819096cb62ce5e94d865 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.