Triple

T34604693
Position Surface form Disambiguated ID Type / Status
Subject Lennox Berkeley E888562 entity
Predicate notableWork P4 FINISHED
Object String Quartet No. 3, Op. 19
String Quartet No. 3, Op. 19 is a mid-20th-century chamber work for two violins, viola, and cello by British composer Lennox Berkeley, reflecting his characteristically refined, neoclassical style.
E2106831 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 No. 3, Op. 19 | Statement: [Lennox Berkeley, notableWork, String Quartet No. 3, Op. 19]
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 No. 3, Op. 19
Triple: [Lennox Berkeley, notableWork, String Quartet No. 3, Op. 19]
Generated description
String Quartet No. 3, Op. 19 is a mid-20th-century chamber work for two violins, viola, and cello by British composer Lennox Berkeley, reflecting his characteristically refined, neoclassical 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_69f349d489d48190ba30e7d97c6f5ef9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f721c0f7d8819093d048e1ec22e7a2 completed May 3, 2026, 10:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748e4ffac8190b88a46c48f2d3cf9 completed June 21, 2026, 2:13 a.m.
NEDg Description generation batch_6a3749d08ff48190b252be336b564065 completed June 21, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_6a374dbedf148190bc1b24d470fd2224 completed June 21, 2026, 2:34 a.m.
Created at: May 1, 2026, 2:03 a.m.