Triple

T30083258
Position Surface form Disambiguated ID Type / Status
Subject Brigg Fair E764529 entity
Predicate hasMelodicSourceFor P70700 FINISHED
Object Delius’s Brigg Fair: An English Rhapsody
Delius’s *Brigg Fair: An English Rhapsody* is an early 20th-century orchestral work that transforms the traditional English folk song “Brigg Fair” into a richly scored, impressionistic concert piece.
E1898551 NE FINISHED

How this triple was built (3 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: Delius’s Brigg Fair: An English Rhapsody | Statement: [Brigg Fair, hasMelodicSourceFor, Delius’s Brigg Fair: An English Rhapsody]
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: Delius’s Brigg Fair: An English Rhapsody
Triple: [Brigg Fair, hasMelodicSourceFor, Delius’s Brigg Fair: An English Rhapsody]
Generated description
Delius’s *Brigg Fair: An English Rhapsody* is an early 20th-century orchestral work that transforms the traditional English folk song “Brigg Fair” into a richly scored, impressionistic concert piece.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMelodicSourceFor
Context triple: [Brigg Fair, hasMelodicSourceFor, Delius’s Brigg Fair: An English Rhapsody]
  • A. hasMelodyInstrument
    Indicates that something uses or features a particular instrument to carry the main melody.
  • B. hasMusicalSource chosen
    Indicates that something derives from, is based on, or is influenced by a particular musical work or musical material.
  • C. hasMelody
    Indicates that one entity possesses, contains, or is characterized by a particular melody.
  • D. hasMoreMelodicSoundThan
    Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
  • E. isMelodic
    Indicates that something possesses a tuneful, harmonious, or musically pleasing quality.
  • F. None of above.

Provenance (6 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_69f22473c0fc8190a926a8051b3b378b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fd7b0503a08190ba07338365b6fcc9 completed May 8, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27432285f48190a43cb4233283f1b2 completed June 8, 2026, 10:33 p.m.
NEDg Description generation batch_6a2743e893708190a11e3888456906bb completed June 8, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_6a274507fa3c819098819c5b1c2c4133 completed June 8, 2026, 10:41 p.m.
PD Predicate disambiguation batch_69fd7a9733dc81909199f453c0cc2bc1 completed May 8, 2026, 5:54 a.m.
Created at: April 29, 2026, 7:03 p.m.