Triple

T31528192
Position Surface form Disambiguated ID Type / Status
Subject Schubert piano sonatas E804401 entity
Predicate includesWork P2011 FINISHED
Object Piano Sonata in A major D.959
Piano Sonata in A major, D.959 is one of Franz Schubert’s late, large-scale piano sonatas, noted for its expansive structure, lyrical themes, and emotional depth.
E1979307 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: Piano Sonata in A major D.959 | Statement: [Schubert piano sonatas, includesWork, Piano Sonata in A major D.959]
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: Piano Sonata in A major D.959
Triple: [Schubert piano sonatas, includesWork, Piano Sonata in A major D.959]
Generated description
Piano Sonata in A major, D.959 is one of Franz Schubert’s late, large-scale piano sonatas, noted for its expansive structure, lyrical themes, and emotional depth.

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_69f348cf839c81908657048402f7f97b completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a7627304819095330463ffa82acf completed May 3, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e6581ae8c81908eaccd89aae048d9 completed June 14, 2026, 8:25 a.m.
NEDg Description generation batch_6a2e66c0462881909c4d15469d7191e7 completed June 14, 2026, 8:30 a.m.
NED2 Entity disambiguation (via description) batch_6a2e67b73b308190826f4229c0eaa495 completed June 14, 2026, 8:35 a.m.
Created at: April 30, 2026, 9:59 p.m.