Triple

T20209378
Position Surface form Disambiguated ID Type / Status
Subject Baroness Marie Christine von Reibnitz E493446 entity
Predicate familyName P18 FINISHED
Object von Reibnitz 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 Reibnitz | Statement: [Baroness Marie Christine von Reibnitz, familyName, von Reibnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Reibnitz
Context triple: [Baroness Marie Christine von Reibnitz, familyName, von Reibnitz]
  • A. von Reibnitz chosen
    Von Reibnitz is a German noble family name historically associated with baronial lineage.
  • B. 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.
  • C. 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.
  • D. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • E. von Rabenhaupt
    Von Rabenhaupt is a German noble family name historically associated with military and aristocratic figures such as the 17th-century general Carl von Rabenhaupt.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed4706c81908a5e4a3023a9c22f completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.