Triple
T24317914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bach English Suites |
E612872
|
entity |
| Predicate | catalogueNumber |
P5531
|
FINISHED |
| Object |
BWV 806–811
BWV 806–811 are the catalogue numbers for Johann Sebastian Bach’s six English Suites, a set of keyboard suites noted for their elaborate preludes and fusion of French and Italian Baroque dance styles.
|
E1627406
|
NE 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: BWV 806–811 | Statement: [Bach English Suites, catalogueNumber, BWV 806–811]
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: BWV 806–811 Triple: [Bach English Suites, catalogueNumber, BWV 806–811]
Generated description
BWV 806–811 are the catalogue numbers for Johann Sebastian Bach’s six English Suites, a set of keyboard suites noted for their elaborate preludes and fusion of French and Italian Baroque dance styles.
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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a916c8819096d018e7ffaf483b |
completed | April 29, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0fc9dfad5c8190b72cd032648dfe7a |
completed | May 22, 2026, 3:13 a.m. |
| NEDg | Description generation | batch_6a0fcb0e05888190bfd20f6c1a8e60f0 |
completed | May 22, 2026, 3:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0fcb9df7d8819084e06c59ca3a5f11 |
completed | May 22, 2026, 3:21 a.m. |
Created at: April 18, 2026, 1:47 a.m.