Triple

T19409192
Position Surface form Disambiguated ID Type / Status
Subject Elisabeth Helene von Vieregg E485544 entity
Predicate familyName P18 FINISHED
Object von Vieregg
von Vieregg is a German noble family name historically associated with members of the Prussian aristocracy.
 E1373517 NE FINISHED

How this triple was built (4 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 Vieregg | Statement: [Elisabeth Helene von Vieregg, familyName, von Vieregg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: von Vieregg
Context triple: [Elisabeth Helene von Vieregg, familyName, von Vieregg]
  • A. 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.
  • B. von Bleibruck
    Von Bleibruck is a German-language noble surname historically associated with Central European aristocratic lineages.
  • C. von Daun
    Von Daun is a German noble surname most notably associated with an Austrian military family prominent in the 18th century.
  • D. von Sonnenthal
    Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
  • E. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: von Vieregg
Triple: [Elisabeth Helene von Vieregg, familyName, von Vieregg]
Generated description
von Vieregg is a German noble family name historically associated with members of the Prussian aristocracy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: von Vieregg
Target entity description: von Vieregg is a German noble family name historically associated with members of the Prussian aristocracy.
  • A. 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.
  • B. von Bleibruck
    Von Bleibruck is a German-language noble surname historically associated with Central European aristocratic lineages.
  • C. von Daun
    Von Daun is a German noble surname most notably associated with an Austrian military family prominent in the 18th century.
  • D. von Sonnenthal
    Von Sonnenthal is a German-language surname historically associated with notable figures in Central European theater and culture.
  • E. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • F. None of above. chosen

Provenance (5 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af3eaa081909e9537a2c57dc6c1 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b975ff481908bda24af31e53b99 completed May 15, 2026, 2:20 p.m.
NEDg Description generation batch_6a072d2d9934819080955555decd7950 completed May 15, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_6a072db6f1c881909e93378d262ca4ff completed May 15, 2026, 2:29 p.m.
Created at: April 10, 2026, 1:37 p.m.