Triple

T11099061
Position Surface form Disambiguated ID Type / Status
Subject Mathematische Annalen E262455 entity
Predicate foundedBy P104 FINISHED
Object Carl Neumann E464010 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: Carl Neumann | Statement: [Mathematische Annalen, foundedBy, Carl Neumann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Neumann
Context triple: [Mathematische Annalen, foundedBy, Carl Neumann]
  • A. Carl Neumann chosen
    Carl Neumann was a German mathematician known for his contributions to potential theory, boundary value problems, and the development of the Neumann series and Neumann boundary conditions.
  • B. Max-Hellmuth Ostermann
    Max-Hellmuth Ostermann was a highly decorated German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • C. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • D. Dietrich Stobbe
    Dietrich Stobbe was a German Social Democratic politician who served as the Governing Mayor of West Berlin during the late 1970s and early 1980s.
  • E. Max Gütermann
    Max Gütermann was a prominent member of the Gütermann family known for his role in developing and expanding their influential textile and thread manufacturing business in Germany.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0c46308190889b94c23ebaca62 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3185fc81908c1b838e6883de2f completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:27 p.m.