Triple
T22942327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Fantasies |
E569766
|
entity |
| Predicate | notableRecordingArtist |
P21110
|
FINISHED |
| Object | Charles Rosen |
—
|
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: Charles Rosen | Statement: [Night Fantasies, notableRecordingArtist, Charles Rosen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Rosen Context triple: [Night Fantasies, notableRecordingArtist, Charles Rosen]
-
A.
Charles Rosen
chosen
Charles Rosen was an American pianist and musicologist renowned for his insightful writings on classical music and composers such as Beethoven and Schubert.
-
B.
Charles Rosen
Charles Rosen was a film art director known for his work on notable movies including the 1974 comedy "Uptown Saturday Night."
-
C.
Carl Rosen
Carl Rosen is a lyricist best known for writing the words to the song "Sunflower."
-
D.
Carl Dahlhaus
Carl Dahlhaus was a prominent 20th-century German musicologist renowned for his influential scholarship on music history and theory, particularly of the 19th century.
-
E.
Carl Flesch
Carl Flesch was a renowned Hungarian violinist and influential pedagogue whose teaching and technical writings shaped modern violin playing worldwide.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819a509481908a3662ef80f757c7 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:45 p.m.