Triple

T31281548
Position Surface form Disambiguated ID Type / Status
Subject Marcel Dupré E797683 entity
Predicate notableWork P4 FINISHED
Object Prelude and Fugue in G minor, Op. 7 No. 3
Prelude and Fugue in G minor, Op. 7 No. 3 is a virtuosic organ composition by Marcel Dupré, renowned for its technical demands and dramatic, late-Romantic style.
E1961635 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 and Fugue in G minor, Op. 7 No. 3 | Statement: [Marcel Dupré, notableWork, Prelude and Fugue in G minor, Op. 7 No. 3]
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 and Fugue in G minor, Op. 7 No. 3
Triple: [Marcel Dupré, notableWork, Prelude and Fugue in G minor, Op. 7 No. 3]
Generated description
Prelude and Fugue in G minor, Op. 7 No. 3 is a virtuosic organ composition by Marcel Dupré, renowned for its technical demands and dramatic, late-Romantic style.

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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e00bbe88190b8e807d2a9522bc2 completed May 3, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2ad22408508190838b66e51d3ef27a completed June 11, 2026, 3:20 p.m.
NEDg Description generation batch_6a2aea2bd6ec81909c6c82b33857b72f completed June 11, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_6a2aeab287bc81908545ee23360e5bdc completed June 11, 2026, 5:04 p.m.
Created at: April 29, 2026, 9:13 p.m.