Triple

T23838547
Position Surface form Disambiguated ID Type / Status
Subject Notation I for solo piano E590919 entity
Predicate isRelatedWork P922 FINISHED
Object Notation II for solo piano
Notation II for solo piano is a contemporary solo piano piece by Pierre Boulez, part of his series of Notations that explore complex modernist textures and structures.
E1604965 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: Notation II for solo piano | Statement: [Notation I for solo piano, isRelatedWork, Notation II for solo 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: Notation II for solo piano
Triple: [Notation I for solo piano, isRelatedWork, Notation II for solo piano]
Generated description
Notation II for solo piano is a contemporary solo piano piece by Pierre Boulez, part of his series of Notations that explore complex modernist textures and structures.

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_69e25d1de32c8190a907afe9c3d6cd6d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c884c800819090d301740e1966cc completed April 29, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69a372108190993dc497e8eaf81b completed May 21, 2026, 8:22 p.m.
NEDg Description generation batch_6a0f6d40d1108190b4da250e40014008 completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e2ff6c481909b81c0d31259a919 completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 8:08 p.m.