Triple

T28331252
Position Surface form Disambiguated ID Type / Status
Subject Preludes E717543 entity
Predicate hasPart P35 FINISHED
Object Prelude in A major, Op. 28 No. 7
Prelude in A major, Op. 28 No. 7 is a brief, lyrical piano piece by Frédéric Chopin, renowned for its simple, song-like melody and frequent use as a teaching and performance staple.
 E1831134 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 A major, Op. 28 No. 7 | Statement: [Preludes, hasPart, Prelude in A major, Op. 28 No. 7]
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 A major, Op. 28 No. 7
Triple: [Preludes, hasPart, Prelude in A major, Op. 28 No. 7]
Generated description
Prelude in A major, Op. 28 No. 7 is a brief, lyrical piano piece by Frédéric Chopin, renowned for its simple, song-like melody and frequent use as a teaching and performance staple.

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_6a1ccf1fab888190b3ced74a1eaca496 completed June 1, 2026, 12:15 a.m.
NEDg Description generation batch_6a1ccff86fc88190b1438e77f3a5f101 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a24946ccd908190ae144fbc7010aca9 completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 12:32 a.m.