Triple

T16309856
Position Surface form Disambiguated ID Type / Status
Subject Claus E396023 entity
Predicate familyName P18 FINISHED
Object von Amsberg E294249 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: von Amsberg | Statement: [Claus, familyName, von Amsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: von Amsberg
Context triple: [Claus, familyName, von Amsberg]
  • A. van Amsberg chosen
    Van Amsberg is the German-origin noble family name associated with the Dutch royal family, including members such as Prince Constantijn of the Netherlands.
  • 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 Sonnenthal
    Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d9557c81909203cd47aebf0f44 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa517908190a29caa0156b1d1cd completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.