Triple

T9761997
Position Surface form Disambiguated ID Type / Status
Subject Michael Arndt E236691 entity
Predicate familyName P18 FINISHED
Object Arndt
Arndt is a German-language surname of Germanic origin borne by various notable individuals across fields such as politics, academia, and the arts.
E820444 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: Arndt | Statement: [Michael Arndt, familyName, Arndt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arndt
Context triple: [Michael Arndt, familyName, Arndt]
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Muffendorf
    Muffendorf is a historic, village-like residential quarter in the Bonn district of Bad Godesberg, known for its traditional half-timbered houses and picturesque setting.
  • C. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • D. Paepcke
    Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
  • E. Aehrenthal
    Aehrenthal was an Austro-Hungarian foreign minister best known for orchestrating the 1908 annexation of Bosnia and Herzegovina, a move that triggered the Bosnian Crisis and heightened tensions in pre–World War I Europe.
  • 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: Arndt
Triple: [Michael Arndt, familyName, Arndt]
Generated description
Arndt is a German-language surname of Germanic origin borne by various notable individuals across fields such as politics, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arndt
Target entity description: Arndt is a German-language surname of Germanic origin borne by various notable individuals across fields such as politics, academia, and the arts.
  • A. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • B. Muffendorf
    Muffendorf is a historic, village-like residential quarter in the Bonn district of Bad Godesberg, known for its traditional half-timbered houses and picturesque setting.
  • C. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • D. Paepcke
    Paepcke is a surname most notably associated with Walter Paepcke, the American industrialist and cultural philanthropist who founded the Aspen Institute.
  • E. Aehrenthal
    Aehrenthal was an Austro-Hungarian foreign minister best known for orchestrating the 1908 annexation of Bosnia and Herzegovina, a move that triggered the Bosnian Crisis and heightened tensions in pre–World War I Europe.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda04c70108190a8ed09eb6f2a124e completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcec777c81908b2eff64f4756517 completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1beefbd1c8190bab597373231cca1 completed April 5, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1bf4bb6088190801095cacd218571 completed April 5, 2026, 1:47 a.m.
Created at: March 30, 2026, 8:25 p.m.