Triple

T3941950
Position Surface form Disambiguated ID Type / Status
Subject Lange E92052 entity
Predicate hasNotableBearer P458 FINISHED
Object Klaus Lange
Klaus Lange is a German politician who served as a member of the Bundestag representing the Social Democratic Party (SPD).
 E408103 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: Klaus Lange | Statement: [Lange, hasNotableBearer, Klaus Lange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Klaus Lange
Context triple: [Lange, hasNotableBearer, Klaus Lange]
  • A. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • B. Joachim Lemelsen
    Joachim Lemelsen was a German Wehrmacht general during World War II who held several high-ranking field commands on the Eastern and Italian fronts.
  • C. Knut Vollebæk
    Knut Vollebæk is a Norwegian diplomat and former foreign minister known for his work in international conflict prevention and minority rights.
  • D. Christian Møller
    Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
  • E. Ulrich Thomsen
    Ulrich Thomsen is a Danish actor known for his roles in international films such as "Festen," "The World Is Not Enough," and various Hollywood and European productions.
  • 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: Klaus Lange
Triple: [Lange, hasNotableBearer, Klaus Lange]
Generated description
Klaus Lange is a German politician who served as a member of the Bundestag representing the Social Democratic Party (SPD).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Klaus Lange
Target entity description: Klaus Lange is a German politician who served as a member of the Bundestag representing the Social Democratic Party (SPD).
  • A. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • B. Joachim Lemelsen
    Joachim Lemelsen was a German Wehrmacht general during World War II who held several high-ranking field commands on the Eastern and Italian fronts.
  • C. Knut Vollebæk
    Knut Vollebæk is a Norwegian diplomat and former foreign minister known for his work in international conflict prevention and minority rights.
  • D. Christian Møller
    Christian Møller was a Danish theoretical physicist known for his contributions to quantum electrodynamics and the theory of relativity.
  • E. Ulrich Thomsen
    Ulrich Thomsen is a Danish actor known for his roles in international films such as "Festen," "The World Is Not Enough," and various Hollywood and European productions.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfdffc48190a93ecb6115b2db33 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556173f848190bf8b879a7c61a43f completed March 14, 2026, 12:35 p.m.
NEDg Description generation batch_69b5575b1f748190b91f5f1cb4cf9c8b completed March 14, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69b557d445d081908f48fe3bd06f786e completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:24 p.m.