Triple

T26827259
Position Surface form Disambiguated ID Type / Status
Subject Edmund Rubbra E675405 entity
Predicate notableWork P4 FINISHED
Object Symphony No. 7
Symphony No. 7 is a mid-20th-century orchestral work by British composer Edmund Rubbra, noted for its spiritual depth and complex, contrapuntal writing.
 E1755848 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: Symphony No. 7 | Statement: [Edmund Rubbra, notableWork, Symphony 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: Symphony No. 7
Triple: [Edmund Rubbra, notableWork, Symphony No. 7]
Generated description
Symphony No. 7 is a mid-20th-century orchestral work by British composer Edmund Rubbra, noted for its spiritual depth and complex, contrapuntal writing.

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_69eee9b6b28481909332f83eb17e5170 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61ada00d48190b6f4c52e6bd33789 completed May 2, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247df83c48190a9063e64b7a54112 completed May 24, 2026, 12:35 a.m.
NEDg Description generation batch_6a124841f5388190bda464ecd74a700e completed May 24, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_6a1248a2f59c8190af2c3a8c50a36af3 completed May 24, 2026, 12:38 a.m.
Created at: April 27, 2026, 4:59 a.m.