Triple

T9225555
Position Surface form Disambiguated ID Type / Status
Subject Peter Serkin E221672 entity
Predicate teacherOf P48 FINISHED
Object Jeremy Denk E773413 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: Jeremy Denk | Statement: [Peter Serkin, teacherOf, Jeremy Denk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeremy Denk
Context triple: [Peter Serkin, teacherOf, Jeremy Denk]
  • A. Jeremy Denk chosen
    Jeremy Denk is an acclaimed American classical pianist and writer known for his insightful interpretations, wide-ranging repertoire, and engaging music essays.
  • B. Jonathan Biss
    Jonathan Biss is an American pianist renowned for his interpretations of Beethoven and for his work as a performer, recording artist, and educator.
  • C. Paul Biss
    Paul Biss is an American violinist, violist, and respected music educator known for his chamber music performances and long association with the Indiana University Jacobs School of Music.
  • D. Joe Kraus
    Joe Kraus is an American entrepreneur and venture capitalist best known as a co-founder of the early web search company Excite and later a partner at Google Ventures.
  • E. Michael Stern
    Michael Stern is an American conductor best known for his long tenure leading the Kansas City Symphony and for his work with major orchestras in the United States and abroad.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9dbd1481909f35a4bee8e0b450 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0779de5a88190b6a9266c976e05b1 completed April 4, 2026, 2:29 a.m.
Created at: March 30, 2026, 7:28 p.m.