Triple
T22575652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyricist Lounge 2 |
E544383
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Get Up |
—
|
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: Get Up | Statement: [Lyricist Lounge 2, hasTrack, Get Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get Up Context triple: [Lyricist Lounge 2, hasTrack, Get Up]
-
A.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
B.
Get Up
Get Up is a morning sports talk and analysis show on ESPN featuring discussions, highlights, and commentary on major sports stories and events.
-
C.
Get Up
"Get Up" is an inspirational rock song by American band Shinedown that addresses themes of struggle, resilience, and mental health.
-
D.
Get Up
"Get Up" is an energetic R&B/dance-pop song by Ciara featuring Chamillionaire, known for its club-ready beat and appearance on the "Step Up" movie soundtrack.
-
E.
Get Up
chosen
"Get Up" is a notable hip-hop track featured on the influential Rawkus Records compilation album Soundbombing II.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fecf1c8819091a05f2a1b93ca8a |
completed | April 29, 2026, 1:33 a.m. |
Created at: April 16, 2026, 8:53 p.m.