Triple

T21427550
Position Surface form Disambiguated ID Type / Status
Subject Lessons in Love and Violence E528594 entity
Predicate publisher P29 FINISHED
Object Faber Music NE NERFINISHED

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: Faber Music | Statement: [Lessons in Love and Violence, publisher, Faber Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Faber Music
Context triple: [Lessons in Love and Violence, publisher, Faber Music]
  • A. Faber Music chosen
    Faber Music is a British music publishing company known for representing contemporary classical composers and educational music catalogues.
  • B. Chester Music
    Chester Music is a prominent music publishing company known for its extensive catalog of classical and contemporary works.
  • C. Schott Music
    Schott Music is a major German music publishing house known for its extensive catalog of classical and contemporary works by prominent composers.
  • D. Bärenreiter
    Bärenreiter is a renowned German music publishing house best known for its scholarly critical editions of classical and baroque works.
  • E. Breitkopf & Härtel
    Breitkopf & Härtel is a historic German music publishing house, founded in the 18th century, renowned for its authoritative editions of classical composers’ works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b3e63a54819089efea2f26b58107 completed April 22, 2026, 11:41 a.m.
Created at: April 16, 2026, 5:49 p.m.