Triple

T38311151
Position Surface form Disambiguated ID Type / Status
Subject BWV 858 E1033688 entity
Predicate followedBy P78 FINISHED
Object BWV 859
BWV 859 is a prelude and fugue in E minor by Johann Sebastian Bach from the first book of The Well-Tempered Clavier.
E2282048 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 859 | Statement: [BWV 858, followedBy, BWV 859]
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 859
Triple: [BWV 858, followedBy, BWV 859]
Generated description
BWV 859 is a prelude and fugue in E minor by Johann Sebastian Bach from the first book of The Well-Tempered Clavier.

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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc651e7b8819089424bfd0c002313 completed May 7, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a420df64ebc8190a5fce4d636ce32ee completed June 29, 2026, 6:17 a.m.
NEDg Description generation batch_6a420fbed5908190805fd971f7d3f4e4 completed June 29, 2026, 6:25 a.m.
NED2 Entity disambiguation (via description) batch_6a42102a7ec48190aa501a5b0283bde8 completed June 29, 2026, 6:26 a.m.
Created at: May 3, 2026, 4:30 p.m.