Triple

T28181746
Position Surface form Disambiguated ID Type / Status
Subject György Kurtág E716046 entity
Predicate hasPart P35 FINISHED
Object Játékok, volumes for piano
Játékok, volumes for piano is a multi-volume collection of experimental and pedagogical piano pieces by György Kurtág that explores playful, intimate, and often fragmentary musical miniatures.
E1805987 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: Játékok, volumes for piano | Statement: [György Kurtág, hasPart, Játékok, volumes for piano]
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: Játékok, volumes for piano
Triple: [György Kurtág, hasPart, Játékok, volumes for piano]
Generated description
Játékok, volumes for piano is a multi-volume collection of experimental and pedagogical piano pieces by György Kurtág that explores playful, intimate, and often fragmentary musical miniatures.

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_69efd6b4fc5c81909dd88f01a8c2b35d completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f642838c308190930f9edf7cf96636 completed May 2, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7c698ac8190966fd6d0eb5e4192 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15d843d2408190916068c6aa442552 completed May 26, 2026, 5:28 p.m.
NED2 Entity disambiguation (via description) batch_6a15d8fcf91c8190b1e6026a44cf66a2 completed May 26, 2026, 5:31 p.m.
Created at: April 27, 2026, 10:20 p.m.