Triple

T28331269
Position Surface form Disambiguated ID Type / Status
Subject Preludes E717543 entity
Predicate hasPart P35 FINISHED
Object Prelude in D minor, Op. 28 No. 24
Prelude in D minor, Op. 28 No. 24 is the final, dramatic and virtuosic prelude in Frédéric Chopin’s Op. 28 set for solo piano, noted for its intensity and powerful conclusion.
E1877458 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 in D minor, Op. 28 No. 24 | Statement: [Preludes, hasPart, Prelude in D minor, Op. 28 No. 24]
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 in D minor, Op. 28 No. 24
Triple: [Preludes, hasPart, Prelude in D minor, Op. 28 No. 24]
Generated description
Prelude in D minor, Op. 28 No. 24 is the final, dramatic and virtuosic prelude in Frédéric Chopin’s Op. 28 set for solo piano, noted for its intensity and powerful conclusion.

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_69eff6e9a57c8190a69c2c74b5d72119 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64bce044c81908c397f6eb05e74c1 completed May 2, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26613ca31c81909f874a77fe97f1b8 completed June 8, 2026, 6:29 a.m.
NEDg Description generation batch_6a2672b8cbb48190bb3b351b1e53896e completed June 8, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a267323c3d48190a1f191754f6d9baa completed June 8, 2026, 7:45 a.m.
Created at: April 28, 2026, 12:32 a.m.