Triple
T20419392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Satch Plays Fats |
E500806
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Black and Blue |
—
|
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: Black and Blue | Statement: [Satch Plays Fats, hasTrack, Black and Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black and Blue Context triple: [Satch Plays Fats, hasTrack, Black and Blue]
-
A.
Black and Blue
"Black and Blue" is a bestselling novel by Anna Quindlen that explores domestic abuse and a woman's struggle to escape and rebuild her life.
-
B.
Black and Blue
Black and Blue is a crime novel by Scottish author Ian Rankin featuring detective Inspector Rebus as he investigates a series of complex and gritty cases in Edinburgh.
-
C.
Black and Blue
"Black and Blue" is a song featured on the album "When It’s All Over We Still Have to Clear Up" by the Scottish rock band Snow Patrol.
-
D.
Black and Blue
Black and Blue is a ghost-themed film included in the compilation "Films About Ghosts (The Best Of...)."
-
E.
Black and Blue
chosen
"Black and Blue" is a jazz standard co-written by composer and pianist Harry Brooks that has become widely recognized and recorded in the American songbook.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4686a48190a808c86aa916ad56 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.