Triple

T910905
Position Surface form Disambiguated ID Type / Status
Subject Lutz Zülicke E19654 entity
Predicate familyName P18 FINISHED
Object Zülicke
Zülicke is a German surname most notably associated with individuals such as physicist Lutz Zülicke.
 E119003 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: Zülicke | Statement: [Lutz Zülicke, familyName, Zülicke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zülicke
Context triple: [Lutz Zülicke, familyName, Zülicke]
  • A. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Sieber
    Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
  • E. Zinkernagel
    Zinkernagel is a Swiss surname most notably borne by immunologist Rolf Zinkernagel, co-recipient of the 1996 Nobel Prize in Physiology or Medicine.
  • 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: Zülicke
Triple: [Lutz Zülicke, familyName, Zülicke]
Generated description
Zülicke is a German surname most notably associated with individuals such as physicist Lutz Zülicke.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zülicke
Target entity description: Zülicke is a German surname most notably associated with individuals such as physicist Lutz Zülicke.
  • A. Kritzinger
    Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
  • B. Löhr
    Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Sieber
    Sieber is a small river in the German state of Lower Saxony that flows through the Harz Mountains and into the Oder.
  • E. Zinkernagel
    Zinkernagel is a Swiss surname most notably borne by immunologist Rolf Zinkernagel, co-recipient of the 1996 Nobel Prize in Physiology or Medicine.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2de5b008190851852331db41324 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3b9b7eb88190b7fa4f9dbcc73d64 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c5009a4819096a0473589235f4f completed March 7, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69ac3caa8ca88190994c7158d0e91f87 completed March 7, 2026, 2:56 p.m.
Created at: March 1, 2026, 7:39 p.m.