Triple

T14688137
Position Surface form Disambiguated ID Type / Status
Subject Les Misérables (West End) E344966 entity
Predicate englishLyricist P1360 FINISHED
Object Herbert Kretzmer 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: Herbert Kretzmer | Statement: [Les Misérables (West End), englishLyricist, Herbert Kretzmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Kretzmer
Context triple: [Les Misérables (West End), englishLyricist, Herbert Kretzmer]
  • A. Herbert Kretzmer chosen
    Herbert Kretzmer was a South African-born British journalist and lyricist best known for writing the English-language lyrics for the musical Les Misérables.
  • B. Wolfgang Weitz
    Wolfgang Weitz is an individual notable enough to be recognized as a prominent bearer of the surname Weitz.
  • C. Günter Scholz
    Günter Scholz is a German mathematician known for his contributions to algebra and the foundations of mathematics.
  • D. Klaus Wolter
    Klaus Wolter is a climate scientist known for creating the Multivariate ENSO Index, a key tool for monitoring and analyzing El Niño–Southern Oscillation variability.
  • E. Klaus Fischer
    Klaus Fischer is a former German footballer best known as a prolific striker and for his spectacular bicycle-kick goals, particularly during the 1970s and early 1980s.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
Created at: April 10, 2026, 1:28 a.m.