Triple

T32409710
Position Surface form Disambiguated ID Type / Status
Subject Heino Eller E828183 entity
Predicate notableWork P4 FINISHED
Object String Quartet in G minor
String Quartet in G minor is a chamber music composition for two violins, viola, and cello by Estonian composer Heino Eller, reflecting his early 20th-century lyrical and national-romantic style.
 E2005498 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: String Quartet in G minor | Statement: [Heino Eller, notableWork, String Quartet in G minor]
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: String Quartet in G minor
Triple: [Heino Eller, notableWork, String Quartet in G minor]
Generated description
String Quartet in G minor is a chamber music composition for two violins, viola, and cello by Estonian composer Heino Eller, reflecting his early 20th-century lyrical and national-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_69f34919f300819092b541c6277cd68a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c254e64881908f32f0d8144056df completed May 3, 2026, 3:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a344f1c20b88190b08670fbbecff652 completed June 18, 2026, 8:03 p.m.
NEDg Description generation batch_6a344fc15a7481908e2e9774dcc7f2df completed June 18, 2026, 8:06 p.m.
NED2 Entity disambiguation (via description) batch_6a3450b1ef4081909cdb8148e80f7dde completed June 18, 2026, 8:10 p.m.
Created at: May 1, 2026, 12:53 a.m.