Triple
T22559787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brain Drain |
E557779
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | All Screwed 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: All Screwed Up | Statement: [Brain Drain, track, All Screwed Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All Screwed Up Context triple: [Brain Drain, track, All Screwed Up]
-
A.
All Screwed Up
chosen
All Screwed Up is a song by the Australian rock band The Angels, featured on their 1983 album Brain Drain.
-
B.
Screwed Up
"Screwed Up" is a track from Ludacris's 2003 hip-hop album "Chicken-n-Beer," known for its gritty Southern rap style and hard-hitting production.
-
C.
I Screwed Up
"I Screwed Up" is a track by the virtual band Gorillaz, featured on their compilation album "Ghosts of Download."
-
D.
My Screw Up
"My Screw Up" is a critically acclaimed and emotionally powerful episode of the medical comedy-drama series Scrubs, best known for its shocking twist and exploration of grief.
-
E.
All Messed Up
"All Messed Up" is a song featured on the album "Run for Cover," likely within the rock or pop-rock genre.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7c914881909584c46ae323c779 |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.