Triple

T223891
Position Surface form Disambiguated ID Type / Status
Subject Bernhard von Galen E4273 entity
Predicate familyName P18 FINISHED
Object von Galen
Von Galen is a German noble family name most prominently associated with figures such as Bishop Clemens August Graf von Galen, known for his opposition to Nazi policies during World War II.
 E28701 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 Galen | Statement: [Bernhard von Galen, familyName, von Galen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: von Galen
Context triple: [Bernhard von Galen, familyName, von Galen]
  • A. Stephanus
    Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • B. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • E. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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 Galen
Triple: [Bernhard von Galen, familyName, von Galen]
Generated description
Von Galen is a German noble family name most prominently associated with figures such as Bishop Clemens August Graf von Galen, known for his opposition to Nazi policies during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: von Galen
Target entity description: Von Galen is a German noble family name most prominently associated with figures such as Bishop Clemens August Graf von Galen, known for his opposition to Nazi policies during World War II.
  • A. Stephanus
    Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • B. Johanus
    Johanus is a given name, likely a variant or diminutive of Johan, used as a personal first name in some cultures.
  • C. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • D. Veritas
    Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
  • E. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c7194fc8190a2d02d446ae3a75e completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3527641a081908fbcd0b16fc1c19e completed Feb. 28, 2026, 8:39 p.m.
NEDg Description generation batch_69a3559bd7808190b5676537827aba91 completed Feb. 28, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69a356327bd881909b3e9895a3b81c9e completed Feb. 28, 2026, 8:55 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.