Triple
T12732217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BWV 1079 |
E304268
|
entity |
| Predicate | containsWork |
P2011
|
FINISHED |
| Object |
Canon per tonos
Canon per tonos is a modulating canon by Johann Sebastian Bach, notable for its endlessly ascending key structure and inclusion in The Musical Offering (BWV 1079).
|
E1000172
|
NE FINISHED |
How this triple was built (4 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: Canon per tonos | Statement: [BWV 1079, containsWork, Canon per tonos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canon per tonos Context triple: [BWV 1079, containsWork, Canon per tonos]
-
A.
Canto
Canto is a jazz album by saxophonist and composer Charles Lloyd, noted for its atmospheric, spiritually infused improvisations and lyrical ensemble interplay.
-
B.
Kannon
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
-
C.
Canta
Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
-
D.
cantos
Cantos are the major divisions or sections of a long narrative or epic poem, similar to chapters in a novel.
-
E.
CANT
CANT was an Italian aircraft manufacturer known for producing military and civilian seaplanes and bombers, particularly during the interwar and World War II periods.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Canon per tonos Triple: [BWV 1079, containsWork, Canon per tonos]
Generated description
Canon per tonos is a modulating canon by Johann Sebastian Bach, notable for its endlessly ascending key structure and inclusion in The Musical Offering (BWV 1079).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canon per tonos Target entity description: Canon per tonos is a modulating canon by Johann Sebastian Bach, notable for its endlessly ascending key structure and inclusion in The Musical Offering (BWV 1079).
-
A.
Canto
Canto is a jazz album by saxophonist and composer Charles Lloyd, noted for its atmospheric, spiritually infused improvisations and lyrical ensemble interplay.
-
B.
Kannon
Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
-
C.
Canta
Canta is a town in Peru that serves as the administrative and commercial center of Canta Province in the Lima Region.
-
D.
cantos
Cantos are the major divisions or sections of a long narrative or epic poem, similar to chapters in a novel.
-
E.
CANT
CANT was an Italian aircraft manufacturer known for producing military and civilian seaplanes and bombers, particularly during the interwar and World War II periods.
- F. None of above. chosen
Provenance (5 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646902408190b29268d864833b80 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8c38a88190853c4d14e2492599 |
completed | May 2, 2026, 10:37 p.m. |
| NEDg | Description generation | batch_69f67db4dd2081909a238e368645e899 |
completed | May 2, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67ec570a881909c98471b701999f0 |
completed | May 2, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:25 p.m.