Triple

T20895521
Position Surface form Disambiguated ID Type / Status
Subject Heinrich von Lüttwitz E514521 entity
Predicate hasFamilyName P18 FINISHED
Object von Lüttwitz 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: von Lüttwitz | Statement: [Heinrich von Lüttwitz, hasFamilyName, von Lüttwitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Lüttwitz
Context triple: [Heinrich von Lüttwitz, hasFamilyName, von Lüttwitz]
  • A. von Lüttwitz chosen
    von Lüttwitz is a German noble family name historically associated with military officers and aristocracy in Germany.
  • B. von Reibnitz
    Von Reibnitz is a German noble family name historically associated with baronial lineage.
  • C. von Schlebrügge
    von Schlebrügge is the aristocratic German-Swedish family name of Nena von Schlebrügge, a former fashion model and mother of actress Uma Thurman.
  • D. von Münnich
    von Münnich is the noble German family name of Burkhard Christoph von Münnich, an 18th-century military commander and statesman who served in the Russian Empire.
  • E. von Lichnowsky
    von Lichnowsky is the surname of a prominent Silesian noble family of princes known for their influence in Prussian and Austrian political and cultural life.
  • 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_69e0b4f7ebe48190952a85547a0f31a1 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6d06233588190942493b709e30820 completed April 21, 2026, 1:18 a.m.
Created at: April 16, 2026, 12:47 p.m.