Triple

T10088928
Position Surface form Disambiguated ID Type / Status
Subject Satan Met a Lady E215290 entity
Predicate musicBy P1952 FINISHED
Object Bernhard Kaun E389188 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: Bernhard Kaun | Statement: [Satan Met a Lady, musicBy, Bernhard Kaun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernhard Kaun
Context triple: [Satan Met a Lady, musicBy, Bernhard Kaun]
  • A. Bernhard Kaun chosen
    Bernhard Kaun was a German-American composer and orchestrator best known for his work on early Hollywood film scores, particularly in the horror genre.
  • B. Herbert Boeckl
    Herbert Boeckl was a prominent Austrian painter and influential modernist whose expressive, often abstract works helped shape 20th-century Austrian art.
  • C. Franz Kutschera
    Franz Kutschera was a high-ranking SS and Nazi official who served as the brutal SS and Police Leader in occupied Warsaw during World War II.
  • D. Gotthard Graubner
    Gotthard Graubner was a German painter renowned for his abstract color-space works that explored the materiality and depth of color.
  • E. Franz Hofmann
    Franz Hofmann was a Nazi official who was prosecuted as a defendant in the post-World War II RuSHA Trial for his involvement in racial policies and crimes against humanity.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd057e32881908bf630559af94906 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6eabf5ed88190b6de7b99b5ab590f completed May 3, 2026, 6:27 a.m.
Created at: March 30, 2026, 9:01 p.m.