Triple
T13191647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Baigelman |
E314002
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Get on Up |
E42174
|
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 on Up | Statement: [Steven Baigelman, notableWork, Get on Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Get on Up Context triple: [Steven Baigelman, 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 morning sports talk and analysis show on ESPN featuring discussions, highlights, and commentary on major sports stories and events.
-
D.
Move On Up
"Move On Up" is an uplifting soul and funk anthem by Curtis Mayfield, celebrated for its driving horn arrangement and inspirational message of perseverance and social progress.
-
E.
Come On Get Up
"Come On Get Up" is a dance-pop song by Janet Jackson from her 2001 album "All for You."
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c600ab48190bcf84aaf5846fb4b |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5fef9e48190961d66ebcc1df11f |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:15 p.m.