Triple

T23914912

Position	Surface form	Disambiguated ID	Type / Status
Subject	Variations for Piano, Op. 27	`E602053`	entity
Predicate	partOf	`P40`	FINISHED
Object	Webern’s late works Webern’s late works are a group of highly concise, rigorously structured twelve-tone compositions that exemplify his mature, pointillistic style and profound influence on postwar avant-garde music.	`E1608841`	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: Webern’s late works | Statement: [Variations for Piano, Op. 27, partOf, Webern’s late works]

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: Webern’s late works
Triple: [Variations for Piano, Op. 27, partOf, Webern’s late works]

Generated description

Webern’s late works are a group of highly concise, rigorously structured twelve-tone compositions that exemplify his mature, pointillistic style and profound influence on postwar avant-garde music.

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_69e2953a187081908346a9f36e85fc98`	completed	April 17, 2026, 8:16 p.m.
NER	Named-entity recognition	`batch_69f1ce97f694819087215ed9f18b290e`	completed	April 29, 2026, 9:25 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a0f76399a648190b5e75eab7de7cea7`	completed	May 21, 2026, 9:16 p.m.
NEDg	Description generation	`batch_6a0f76cd32688190ac032b5b79dba0b8`	completed	May 21, 2026, 9:19 p.m.
NED2	Entity disambiguation (via description)	`batch_6a0f78c5e978819086792ca6d9835ff9`	completed	May 21, 2026, 9:27 p.m.

Created at: April 17, 2026, 8:39 p.m.