Triple
T37356951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partita No. 1 in B minor, BWV 1002 |
E927479
|
entity |
| Predicate | catalogNumber |
P8090
|
FINISHED |
| Object |
BWV 1002
BWV 1002 is Johann Sebastian Bach’s Partita No. 1 in B minor for solo violin, a cornerstone of the Baroque violin repertoire known for its intricate dance movements and variations.
|
E274859
|
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 1002 | Statement: [Partita No. 1 in B minor, BWV 1002, catalogNumber, BWV 1002]
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 1002 Triple: [Partita No. 1 in B minor, BWV 1002, catalogNumber, BWV 1002]
Generated description
BWV 1002 is Johann Sebastian Bach’s Partita No. 1 in B minor for solo violin, a cornerstone of the Baroque violin repertoire known for its intricate dance movements and variations.
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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb5bc49a488190a8568af5255f8e68 |
completed | May 6, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4076f2ccb4819083a18b8072981c36 |
completed | June 28, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a4079884de4819083aa67b9c5c9adf6 |
completed | June 28, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4079df8aac8190b123ea92b559c196 |
completed | June 28, 2026, 1:33 a.m. |
Created at: May 3, 2026, 4:16 p.m.