Triple
T22663688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyolah Films |
E559726
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Get on 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 on Up | Statement: [Wyolah Films, notableWork, Get on Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get on Up Context triple: [Wyolah Films, notableWork, Get on Up]
-
A.
Get on Up
chosen
Get on Up is a 2014 biographical drama film about the life and career of soul music legend James Brown.
-
B.
Get Up
"Get Up" is a track by the American heavy metal band Scream, featured on one of their releases.
-
C.
Get Up
"Get Up" is a song by the American rock band Poison from their 1990 album "Flesh & Blood."
-
D.
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.
-
E.
Get Up
"Get Up" is an inspirational rock song by American band Shinedown that addresses themes of struggle, resilience, and mental health.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f176617ed8819095a58a2c9f1e3918 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 3:08 p.m.