Triple

T21283545
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Beiglböck E524592 entity
Predicate familyName P18 FINISHED
Object Beiglböck
Beiglböck is a German surname most notably associated with Wilhelm Beiglböck, a physician involved in Nazi human experimentation during World War II.
 E1476058 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: Beiglböck | Statement: [Wilhelm Beiglböck, familyName, Beiglböck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beiglböck
Context triple: [Wilhelm Beiglböck, familyName, Beiglböck]
  • A. Stölzl
    Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
  • B. Gschwandtkopf
    Gschwandtkopf is a prominent alpine mountain in the Tyrol region of Austria, popular for skiing, hiking, and panoramic views over the Seefeld plateau.
  • C. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • D. Zoettl
    Zoettl is the surname of Brother Joseph Zoettl, a Benedictine monk known for creating the Ave Maria Grotto in Alabama.
  • E. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • 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: Beiglböck
Triple: [Wilhelm Beiglböck, familyName, Beiglböck]
Generated description
Beiglböck is a German surname most notably associated with Wilhelm Beiglböck, a physician involved in Nazi human experimentation during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beiglböck
Target entity description: Beiglböck is a German surname most notably associated with Wilhelm Beiglböck, a physician involved in Nazi human experimentation during World War II.
  • A. Stölzl
    Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
  • B. Gschwandtkopf
    Gschwandtkopf is a prominent alpine mountain in the Tyrol region of Austria, popular for skiing, hiking, and panoramic views over the Seefeld plateau.
  • C. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • D. Zoettl
    Zoettl is the surname of Brother Joseph Zoettl, a Benedictine monk known for creating the Ave Maria Grotto in Alabama.
  • E. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d3dfbc819081bd876d95c7c480 completed April 21, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09980794088190a54f7f00c2d3b3fb completed May 17, 2026, 10:27 a.m.
NEDg Description generation batch_6a0998a3326481908a4dfddfb7b2ecd9 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a09996c8d7c81908cc9874f6e1a3fff completed May 17, 2026, 10:33 a.m.
Created at: April 16, 2026, 4:03 p.m.