Triple

T11138870
Position Surface form Disambiguated ID Type / Status
Subject Roxanna Panufnik E263486 entity
Predicate name P16 FINISHED
Object Roxanna Panufnik E263486 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: Roxanna Panufnik | Statement: [Roxanna Panufnik, name, Roxanna Panufnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roxanna Panufnik
Context triple: [Roxanna Panufnik, name, Roxanna Panufnik]
  • A. Roxanna Panufnik chosen
    Roxanna Panufnik is a contemporary British composer known for her choral, orchestral, and sacred music, often blending diverse cultural and religious influences.
  • B. Gabriela Lena Frank
    Gabriela Lena Frank is an American composer and pianist known for blending Western classical music with Latin American folk influences, particularly drawing on her Peruvian heritage.
  • C. Judith Weir
    Judith Weir is a British composer and Master of the King’s Music, renowned for her operas, choral works, and prominent ceremonial compositions.
  • D. Helen Grime
    Helen Grime is a contemporary Scottish composer acclaimed for her orchestral and chamber works and recognized with major classical music awards.
  • E. Paula DuPré Pesmen
    Paula DuPré Pesmen is an American film producer best known for her work on acclaimed documentaries such as the Oscar-winning "The Cove" and "Chasing Ice."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85f2ea48190bf1ff63af1d7d236 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e442030b588190bc958030f30b648a completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.