Triple

T12143817
Position Surface form Disambiguated ID Type / Status
Subject Arndt von Bohlen und Halbach E289263 entity
Predicate memberOf P10 FINISHED
Object Krupp family E170702 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: Krupp family | Statement: [Arndt von Bohlen und Halbach, memberOf, Krupp family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krupp family
Context triple: [Arndt von Bohlen und Halbach, memberOf, Krupp family]
  • A. Krupp family chosen
    The Krupp family is a prominent German industrial dynasty historically known for its powerful steel and armaments empire centered in Essen.
  • B. Warburg family
    The Warburg family is a prominent German-Jewish banking and philanthropic dynasty influential in international finance, culture, and public life from the 19th century onward.
  • C. Bayer family
    The Bayer family is a group of southern sky constellations introduced by German astronomer Johann Bayer in his 1603 star atlas Uranometria.
  • D. Thyssen-Bornemisza family
    The Thyssen-Bornemisza family is a wealthy European industrial and aristocratic dynasty renowned for assembling one of the world’s most significant private art collections.
  • E. Otto family
    The Otto family is a notable literary and academic family associated with writer and scholar Darcey O'Brien.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69501348190a9ac090c7db37c20 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.