Triple

T454908
Position Surface form Disambiguated ID Type / Status
Subject Ludwig van Beethoven E7211 entity
Predicate influenced P9 FINISHED
Object Gustav Mahler E41085 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: Gustav Mahler | Statement: [Ludwig van Beethoven, influenced, Gustav Mahler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustav Mahler
Context triple: [Ludwig van Beethoven, influenced, Gustav Mahler]
  • A. Gustav Mahler chosen
    Gustav Mahler was a late-Romantic Austrian composer and conductor renowned for his expansive symphonies and song cycles that bridged the 19th-century tradition and early modernism.
  • B. Johannes Brahms
    Johannes Brahms was a 19th-century German composer and pianist renowned for his symphonies, concertos, chamber music, and choral works that combined classical forms with Romantic expressiveness.
  • C. Richard Wagner
    Richard Wagner was a 19th-century German composer best known for his revolutionary operas and music dramas, which profoundly shaped Western classical music and artistic thought.
  • D. Alfred Koerner
    Alfred Koerner was an architect known for his work on the Berlin Botanical Garden.
  • E. Alfred Winklmayr
    Alfred Winklmayr is an Austrian ski instructor best known as Ivana Trump’s first husband, whom she reportedly married to obtain Austrian citizenship.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef87cc7c8190a0fec933457821e2 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481e969f481908cc6732b4c6aaad6 completed March 1, 2026, 6:14 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.