Triple

T32873508
Position Surface form Disambiguated ID Type / Status
Subject Peggy Glanville-Hicks E840855 entity
Predicate notableWork P4 FINISHED
Object Concerto romantico
Concerto romantico is an orchestral concerto by Australian composer Peggy Glanville-Hicks, noted for its lyrical, neo-classical style and expressive romantic character.
E2028035 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: Concerto romantico | Statement: [Peggy Glanville-Hicks, notableWork, Concerto romantico]
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: Concerto romantico
Triple: [Peggy Glanville-Hicks, notableWork, Concerto romantico]
Generated description
Concerto romantico is an orchestral concerto by Australian composer Peggy Glanville-Hicks, noted for its lyrical, neo-classical style and expressive romantic character.

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_69f349436ee88190b72ee12d0f3f508e completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cfe90a4c81909662075cd8a8c715 completed May 3, 2026, 4:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c67cf46081908af468d6b4eefea6 completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c89bb0f881909e9a463eb6581007 completed June 19, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_6a34c975ee008190a757c4b07d6d1f47 completed June 19, 2026, 4:45 a.m.
Created at: May 1, 2026, 1:17 a.m.