Triple

T36113291
Position Surface form Disambiguated ID Type / Status
Subject 24 Preludes, Op. 11 E1044554 entity
Predicate hasPart P35 FINISHED
Object Prelude No. 15 in D-flat major, Op. 11
Prelude No. 15 in D-flat major, Op. 11 is a short piano piece by Alexander Scriabin, notable for its lyrical character and place within his early Romantic-influenced works.
E2193232 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: Prelude No. 15 in D-flat major, Op. 11 | Statement: [24 Preludes, Op. 11, hasPart, Prelude No. 15 in D-flat major, Op. 11]
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: Prelude No. 15 in D-flat major, Op. 11
Triple: [24 Preludes, Op. 11, hasPart, Prelude No. 15 in D-flat major, Op. 11]
Generated description
Prelude No. 15 in D-flat major, Op. 11 is a short piano piece by Alexander Scriabin, notable for its lyrical character and place within his early Romantic-influenced works.

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_69f76e344a4c8190af3858c6d78ba88f completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b2ca14bc8190ae459553bfad9d58 completed May 3, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20ad06e8819097dd458e548f8b7f completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a21d045cc81908d61119fb621f7b6 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a225b99788190bafbd7ccb4a652b9 completed June 23, 2026, 6:06 a.m.
Created at: May 3, 2026, 4:08 p.m.