Triple

T13066291
Position Surface form Disambiguated ID Type / Status
Subject Danny Buderus E329333 entity
Predicate familyName P18 FINISHED
Object Buderus
Buderus is a surname most notably associated with former Australian rugby league player Danny Buderus.
 E1017501 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: Buderus | Statement: [Danny Buderus, familyName, Buderus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buderus
Context triple: [Danny Buderus, familyName, Buderus]
  • A. Bosch
    Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
  • B. Bosch
    Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Franke
    Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
  • E. Kostal
    Kostal is a surname most notably associated with American musical arranger and conductor Irwin Kostal, known for his work on classic film and stage musicals.
  • 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: Buderus
Triple: [Danny Buderus, familyName, Buderus]
Generated description
Buderus is a surname most notably associated with former Australian rugby league player Danny Buderus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buderus
Target entity description: Buderus is a surname most notably associated with former Australian rugby league player Danny Buderus.
  • A. Bosch
    Bosch is a multinational engineering and technology company best known for its automotive components, industrial products, and household appliances.
  • B. Bosch
    Bosch is a critically acclaimed American crime drama television series centered on LAPD detective Harry Bosch, adapted from Michael Connelly’s bestselling novels.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Franke
    Franke is a variant form of the given name Frank, typically used as a surname or less common personal name in Germanic-speaking regions.
  • E. Kostal
    Kostal is a surname most notably associated with American musical arranger and conductor Irwin Kostal, known for his work on classic film and stage musicals.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980eb81948190b27eb9ae19978079 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbe7abd0819085645e29d43493dd completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd3d5090819091b65f544ad139fd completed May 3, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6cdc8d52c819083717a455d589646 completed May 3, 2026, 4:23 a.m.
Created at: April 9, 2026, 8:59 p.m.