Triple

T17633584
Position Surface form Disambiguated ID Type / Status
Subject György Ligeti E430036 entity
Predicate influenced P9 FINISHED
Object Brian Ferneyhough 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: Brian Ferneyhough | Statement: [György Ligeti, influenced, Brian Ferneyhough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Ferneyhough
Context triple: [György Ligeti, influenced, Brian Ferneyhough]
  • A. Brian Ferneyhough chosen
    Brian Ferneyhough is a British composer renowned for his extremely complex, densely notated works and as a leading figure of the New Complexity movement in contemporary classical music.
  • B. Ralph Kemp
    Ralph Kemp was the warden of the Georgia State Prison who served as the named state respondent in the landmark U.S. Supreme Court death penalty case McCleskey v. Kemp.
  • C. Andy Hargreaves
    Andy Hargreaves is a British-Canadian educational researcher and author known for his influential work on educational change, teacher professionalism, and school improvement.
  • D. Graeme Lehmann
    Graeme Lehmann is an Australian local government politician who serves as the mayor of the Somerset Region in Queensland.
  • E. Kenneth Woods
    Kenneth Woods is a member of the Woods family, known primarily in relation to that family lineage.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46ddea4688190a76a4225f268c0ac completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.