Triple

T18633289
Position Surface form Disambiguated ID Type / Status
Subject Amalia E455474 entity
Predicate hasFather P1908 FINISHED
Object Herr Bruns 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: Herr Bruns | Statement: [Amalia, hasFather, Herr Bruns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herr Bruns
Context triple: [Amalia, hasFather, Herr Bruns]
  • A. Otto Steinbrinck
    Otto Steinbrinck was a German industrialist and SS officer who was prosecuted as a war criminal for his role in Nazi economic enterprises during the Flick Trial after World War II.
  • B. Hans Kerner
    Hans Kerner is a German television sports journalist and presenter best known for hosting popular football and sports programs.
  • C. Fritz Stahlbaum
    Fritz Stahlbaum is a character from E.T.A. Hoffmann's "The Nutcracker and the Mouse King," known as Clara's mischievous younger brother who breaks her beloved nutcracker.
  • D. Otto Schenk
    Otto Schenk is an Austrian actor, director, and comedian renowned for his work in theater and opera, particularly at the Vienna State Opera and the Metropolitan Opera.
  • E. Hermann Bruns chosen
    Hermann Bruns was a German mathematician known for his contributions to celestial mechanics and potential theory in the late 19th and early 20th centuries.
  • 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc5c7ec8190ab0c64f009583f96 completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:46 a.m.