Triple

T6660397
Position Surface form Disambiguated ID Type / Status
Subject Felix Hausdorff E151458 entity
Predicate notableStudent P4838 FINISHED
Object Wilhelm Süss E698211 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: Wilhelm Süss | Statement: [Felix Hausdorff, notableStudent, Wilhelm Süss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelm Süss
Context triple: [Felix Hausdorff, notableStudent, Wilhelm Süss]
  • A. Wilhelm Süss chosen
    Wilhelm Süss was a German mathematician known for his work in geometry and for founding the Mathematical Research Institute of Oberwolfach.
  • B. Friedrich Weiss
    Friedrich Weiss is a personal name that may refer to multiple individuals, typically of German-speaking origin, rather than a single widely recognized historical or public figure.
  • C. Heinrich Stern
    Heinrich Stern was a physician and medical leader best known for founding the American College of Physicians, a major professional organization for internists in the United States.
  • D. Ludwig Hahn
    Ludwig Hahn was a high-ranking Nazi SS and police official involved in orchestrating atrocities in occupied Poland during World War II.
  • E. Josef Christian Willenberg
    Josef Christian Willenberg was an architect and educator credited with helping establish the Czech Technical University in Prague, one of the oldest technical universities in Europe.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b071cc6c81909d7df1841c645661 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
Created at: March 27, 2026, 2:02 p.m.