Triple

T5465308
Position Surface form Disambiguated ID Type / Status
Subject Jürgen Prochnow E122693 entity
Predicate familyName P18 FINISHED
Object Prochnow
Prochnow is a German surname most notably associated with actor Jürgen Prochnow, known for his role in the film "Das Boot."
 E523172 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: Prochnow | Statement: [Jürgen Prochnow, familyName, Prochnow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prochnow
Context triple: [Jürgen Prochnow, familyName, Prochnow]
  • A. Chamerbach
    Chamerbach is a small river in central Switzerland that serves as one of the tributaries feeding into Lake Zug.
  • B. 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.
  • C. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • D. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • E. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • 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: Prochnow
Triple: [Jürgen Prochnow, familyName, Prochnow]
Generated description
Prochnow is a German surname most notably associated with actor Jürgen Prochnow, known for his role in the film "Das Boot."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prochnow
Target entity description: Prochnow is a German surname most notably associated with actor Jürgen Prochnow, known for his role in the film "Das Boot."
  • A. Chamerbach
    Chamerbach is a small river in central Switzerland that serves as one of the tributaries feeding into Lake Zug.
  • B. 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.
  • C. Biesenthal
    Biesenthal is a small town in the Barnim district of Brandenburg, Germany, known for its surrounding lakes, forests, and location within the Barnim Nature Park.
  • D. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • E. Heurich
    Heurich is a German surname most notably associated with Christian Heurich, a prominent brewer and businessman in Washington, D.C.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd920590b481909b92091678ff1414 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf488b64d081908163edfff6484f5c completed March 22, 2026, 1:40 a.m.
NEDg Description generation batch_69bf49ed2e2081908642f700d97943e9 completed March 22, 2026, 1:46 a.m.
NED2 Entity disambiguation (via description) batch_69bf4abbf2488190a30dd222d0de0470 completed March 22, 2026, 1:49 a.m.
Created at: March 20, 2026, 2:08 p.m.