Triple

T13278278
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Ferdinand von Beust E316248 entity
Predicate familyName P18 FINISHED
Object von Beust
Von Beust is a German noble family name most prominently associated with 19th-century statesman Friedrich Ferdinand von Beust, a key political figure in Saxony and the Austro-Hungarian Empire.
 E1030853 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 Beust | Statement: [Friedrich Ferdinand von Beust, familyName, von Beust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: von Beust
Context triple: [Friedrich Ferdinand von Beust, familyName, von Beust]
  • 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. Beuster
    Beuster is a small river in Germany that serves as a tributary of the Innerste.
  • C. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • D. von Bock
    Von Bock is a German noble surname most prominently associated with Fedor von Bock, a senior Wehrmacht field marshal during World War II.
  • 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. 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 Beust
Triple: [Friedrich Ferdinand von Beust, familyName, von Beust]
Generated description
Von Beust is a German noble family name most prominently associated with 19th-century statesman Friedrich Ferdinand von Beust, a key political figure in Saxony and the Austro-Hungarian Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: von Beust
Target entity description: Von Beust is a German noble family name most prominently associated with 19th-century statesman Friedrich Ferdinand von Beust, a key political figure in Saxony and the Austro-Hungarian Empire.
  • 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. Beuster
    Beuster is a small river in Germany that serves as a tributary of the Innerste.
  • C. von Kühn
    von Kühn is a German noble family name historically associated with figures such as Sophie von Kühn.
  • D. von Bock
    Von Bock is a German noble surname most prominently associated with Fedor von Bock, a senior Wehrmacht field marshal during World War II.
  • 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. 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99043fba88190872ede6f63e2fbcb completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b8f325c819097fb5f221ba28b9a completed May 3, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_69f70c4c6f908190b2ebc2a90b049e59 completed May 3, 2026, 8:50 a.m.
Created at: April 9, 2026, 9:26 p.m.