Triple

T9412140
Position Surface form Disambiguated ID Type / Status
Subject Käthe Kollwitz E226730 entity
Predicate givenName P17 FINISHED
Object Käthe
Käthe is a German given name most famously borne by the expressionist artist and printmaker Käthe Kollwitz.
E797388 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: Käthe | Statement: [Käthe Kollwitz, givenName, Käthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Käthe
Context triple: [Käthe Kollwitz, givenName, Käthe]
  • A. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • B. Elfriede
    Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
  • C. Emma Kunz
    Emma Kunz was a Swiss healer, researcher, and artist known for her geometric drawings and work with natural remedies, particularly the healing rock AION A.
  • D. Emma Kunz
    Emma Kunz was the wife of German engineer and automobile pioneer Gottlieb Daimler.
  • E. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • 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: Käthe
Triple: [Käthe Kollwitz, givenName, Käthe]
Generated description
Käthe is a German given name most famously borne by the expressionist artist and printmaker Käthe Kollwitz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Käthe
Target entity description: Käthe is a German given name most famously borne by the expressionist artist and printmaker Käthe Kollwitz.
  • A. Bettina
    Bettina is a feminine given name of Hebrew origin, often considered a diminutive of Elisabeth or Benedetta and used in various European languages.
  • B. Elfriede
    Elfriede is a feminine given name of German origin, notably borne by Austrian Nobel Prize–winning writer Elfriede Jelinek.
  • C. Emma Kunz
    Emma Kunz was a Swiss healer, researcher, and artist known for her geometric drawings and work with natural remedies, particularly the healing rock AION A.
  • D. Emma Kunz
    Emma Kunz was the wife of German engineer and automobile pioneer Gottlieb Daimler.
  • E. Margarete
    Margarete is a female given name of Greek origin, commonly associated with the meaning "pearl" and used in various European languages.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd5258f7e081908d48600409181fdb completed April 1, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107b0f9648190894a4cd13d7e5fb5 completed April 4, 2026, 12:44 p.m.
NEDg Description generation batch_69d108466fb481909682fcaac354b312 completed April 4, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_69d108be82888190b0ec08119cd00b68 completed April 4, 2026, 12:49 p.m.
Created at: March 30, 2026, 7:47 p.m.