Triple
T12793420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Backwater Blues |
E305825
|
entity |
| Predicate | notableRecordingOf |
P8087
|
FINISHED |
| Object | Bessie Smith repertoire |
—
|
LITERAL 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: Bessie Smith repertoire | Statement: [Backwater Blues, notableRecordingOf, Bessie Smith repertoire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableRecordingOf Context triple: [Backwater Blues, notableRecordingOf, Bessie Smith repertoire]
-
A.
notableTrack
chosen
Indicates that a particular track (such as a song or recording) is especially significant, well-known, or prominent in relation to the subject.
-
B.
notableRecordingTradition
Indicates that there exists a significant or historically important tradition of recording or documenting something associated with the subject.
-
C.
notableRecordingSession
Indicates that a particular recording session is especially significant or noteworthy in relation to the subject.
-
D.
notableRecordingMedium
Indicates that an entity is notably recorded, documented, or expressed using a particular medium or format.
-
E.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
- F. None of above.
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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.