Triple

T35963411
Position Surface form Disambiguated ID Type / Status
Subject BWV 864 E1040066 entity
Predicate precededBy P97 FINISHED
Object BWV 863
BWV 863 is a prelude and fugue in B minor from Johann Sebastian Bach’s The Well-Tempered Clavier, Book I.
E2178759 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 863 | Statement: [BWV 864, precededBy, BWV 863]
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 863
Triple: [BWV 864, precededBy, BWV 863]
Generated description
BWV 863 is a prelude and fugue in B minor from Johann Sebastian Bach’s The Well-Tempered Clavier, Book I.

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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abfa8d9c8190853e8e501da0a2d4 completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d6680548190a8ba67dfee47839e completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a398479872081908a23fc3a0add826e completed June 22, 2026, 6:52 p.m.
NED2 Entity disambiguation (via description) batch_6a3984cbce008190bb018c2fb45402cf completed June 22, 2026, 6:54 p.m.
Created at: May 3, 2026, 4:07 p.m.