Triple

T17389584
Position Surface form Disambiguated ID Type / Status
Subject Otto Gessler E422780 entity
Predicate headOfGovernment P307 FINISHED
Object Joseph Wirth 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: Joseph Wirth | Statement: [Otto Gessler, headOfGovernment, Joseph Wirth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Wirth
Context triple: [Otto Gessler, headOfGovernment, Joseph Wirth]
  • A. Joseph Wirth chosen
    Joseph Wirth was a German Centre Party politician who served as Chancellor of the Weimar Republic in the early 1920s and became known for his policy of fulfilling the Treaty of Versailles.
  • B. Otto Maass
    Otto Maass was a Canadian chemist and professor known for his significant contributions to physical chemistry and his long association with McGill University.
  • C. Friedrich Kirchner
    Friedrich Kirchner was a German Wehrmacht general during World War II, known for commanding armored units on the Eastern Front.
  • D. Karl Helfferich
    Karl Helfferich was a German economist, banker, and conservative politician who served as Imperial Treasury Secretary and played a major role in Germany’s financial and economic policy during World War I and the Weimar Republic.
  • E. Otto Maurer
    Otto Maurer was a 19th-century New York City taxidermist and naturalist known for his work preparing animal specimens for museums and scientific study.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8c718c81909cb20749aaf12897 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.