Triple

T7413313
Position Surface form Disambiguated ID Type / Status
Subject Kurt Daluege E171064 entity
Predicate familyName P18 FINISHED
Object Daluege
Daluege is the surname of Kurt Daluege, a high-ranking Nazi SS and police official who played a major role in the repression and atrocities of the Third Reich.
 E662113 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: Daluege | Statement: [Kurt Daluege, familyName, Daluege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daluege
Context triple: [Kurt Daluege, familyName, Daluege]
  • A. Dagmaer
    Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
  • B. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • C. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • D. Blautal
    Blautal is a scenic valley in Baden-Württemberg, Germany, shaped by the river Blau and known for its karst landscapes and picturesque towns.
  • E. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • 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: Daluege
Triple: [Kurt Daluege, familyName, Daluege]
Generated description
Daluege is the surname of Kurt Daluege, a high-ranking Nazi SS and police official who played a major role in the repression and atrocities of the Third Reich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daluege
Target entity description: Daluege is the surname of Kurt Daluege, a high-ranking Nazi SS and police official who played a major role in the repression and atrocities of the Third Reich.
  • A. Dagmaer
    Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
  • B. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • C. Dargwa
    Dargwa is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan, Russia.
  • D. Blautal
    Blautal is a scenic valley in Baden-Württemberg, Germany, shaped by the river Blau and known for its karst landscapes and picturesque towns.
  • E. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • 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_69c68a618bdc81908d8018edadecd1a4 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c336308190932c14cec5eec25f completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8112960d48190a9947146e62daa13 completed March 28, 2026, 5:34 p.m.
NEDg Description generation batch_69c811f1fe3c8190a591186b19044b5f completed March 28, 2026, 5:37 p.m.
NED2 Entity disambiguation (via description) batch_69c812c1e9d08190b0e7f052d87011b9 completed March 28, 2026, 5:41 p.m.
Created at: March 27, 2026, 3:11 p.m.