Triple

T3233184
Position Surface form Disambiguated ID Type / Status
Subject Maike Kohl-Richter E67789 entity
Predicate givenName P17 FINISHED
Object Maike
Maike is the given name of Maike Kohl-Richter, the widow of former German Chancellor Helmut Kohl.
 E339405 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: Maike | Statement: [Maike Kohl-Richter, givenName, Maike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maike
Context triple: [Maike Kohl-Richter, givenName, Maike]
  • A. Marisa
    Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • B. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • C. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • 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: Maike
Triple: [Maike Kohl-Richter, givenName, Maike]
Generated description
Maike is the given name of Maike Kohl-Richter, the widow of former German Chancellor Helmut Kohl.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maike
Target entity description: Maike is the given name of Maike Kohl-Richter, the widow of former German Chancellor Helmut Kohl.
  • A. Marisa
    Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • B. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • C. Karin
    Karin is a feminine given name used in various cultures, often considered a variant of names like Karen or Katherine.
  • D. Reona
    Reona is the Japanese given name of Nobel Prize–winning physicist Leo Esaki, known for his pioneering work on quantum tunneling and semiconductor devices.
  • E. Mia
    Mia is a major fine art museum in Minneapolis, Minnesota, known for its extensive and diverse collection spanning thousands of years and cultures.
  • 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaedb718c8190aae12f763033713a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2773b494c8190a2c0c5042e8eaa55 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27844c6708190ac61f00a74a2ef27 completed March 12, 2026, 8:24 a.m.
NED2 Entity disambiguation (via description) batch_69b27911ff1481908a36f279a871c510 completed March 12, 2026, 8:28 a.m.
Created at: March 8, 2026, 3:08 p.m.