Triple

T10899953
Position Surface form Disambiguated ID Type / Status
Subject Claus Wellenreuther E257410 entity
Predicate coFounderWith P2835 FINISHED
Object Hans-Werner Hector E454921 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: Hans-Werner Hector | Statement: [Claus Wellenreuther, coFounderWith, Hans-Werner Hector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans-Werner Hector
Context triple: [Claus Wellenreuther, coFounderWith, Hans-Werner Hector]
  • A. Hans-Werner Hector chosen
    Hans-Werner Hector is a German entrepreneur and philanthropist best known as one of the co-founders of the software company SAP.
  • B. Hans von Seisser
    Hans von Seisser was a Bavarian police official and head of the Munich police who played a key role in opposing Adolf Hitler’s 1923 Beer Hall Putsch.
  • C. Wolfgang Bühler
    Wolfgang Bühler is a notable individual who shares the German surname Bühler, recognized as one of its distinguished bearers.
  • D. Werner Sauer
    Werner Sauer is a person notable enough to be recognized as a significant bearer of the surname Sauer.
  • E. Hans Waldmann
    Hans Waldmann was a 15th-century Swiss military leader and later mayor of Zurich, noted for his prominent role in the Burgundian Wars and his controversial political career that ended in execution.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d761a2f02881908b70be6499dd8d98 completed April 9, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9db383cc8190b1c65d202785838a completed May 9, 2026, 2:36 a.m.
Created at: April 8, 2026, 9:21 p.m.