Triple
T21416833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Accent on Youth |
E528320
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Mr. Music |
—
|
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: Mr. Music | Statement: [Accent on Youth, hasAdaptation, Mr. Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Music Context triple: [Accent on Youth, hasAdaptation, Mr. Music]
-
A.
Mr. Music
chosen
Mr. Music is a 1950 American musical comedy film starring Bing Crosby, adapted from Samson Raphaelson’s play "Accent on Youth."
-
B.
Mr. Oizo
Mr. Oizo is the stage name of French electronic musician and filmmaker Quentin Dupieux, known for his experimental house music and the hit track "Flat Beat."
-
C.
Mr. DJ
Mr. DJ is a hip-hop music producer best known for his work with OutKast and on tracks like "Universal Mind Control."
-
D.
Darrell the DJ
Darrell the DJ is a disc jockey persona known for mixing and playing music, typically in live or event settings.
-
E.
Mr. Man
"Mr. Man" is a song by Alicia Keys from her debut studio album "Songs in A Minor."
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b205d17c8190b9b6b5708658f9be |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:46 p.m.