Triple

T15402630
Position Surface form Disambiguated ID Type / Status
Subject Erich Kähler E368361 entity
Predicate familyName P18 FINISHED
Object Kähler
Kähler is a German surname most notably associated with Erich Kähler, a mathematician known for his foundational work in differential geometry and complex manifolds.
 E1155252 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: Kähler | Statement: [Erich Kähler, familyName, Kähler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kähler
Context triple: [Erich Kähler, familyName, Kähler]
  • A. Kaluza
    Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
  • B. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • C. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • D. Keratsini
    Keratsini is a coastal suburban municipality and port town within the greater Athens metropolitan area in Greece.
  • E. Kasner
    Kasner is the birth surname of former German chancellor Angela Merkel, reflecting her family name before marriage.
  • 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: Kähler
Triple: [Erich Kähler, familyName, Kähler]
Generated description
Kähler is a German surname most notably associated with Erich Kähler, a mathematician known for his foundational work in differential geometry and complex manifolds.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kähler
Target entity description: Kähler is a German surname most notably associated with Erich Kähler, a mathematician known for his foundational work in differential geometry and complex manifolds.
  • A. Kaluza
    Kaluza is a surname most notably associated with Theodor Kaluza, the German physicist who proposed a unifying five-dimensional theory of gravity and electromagnetism.
  • B. Kehler
    Kehler is a German-origin surname borne by various individuals, including American Air Force general C. Robert Kehler.
  • C. Kalmus
    Kalmus is a surname most notably associated with Herbert Kalmus, the co-founder of the pioneering color motion picture company Technicolor.
  • D. Keratsini
    Keratsini is a coastal suburban municipality and port town within the greater Athens metropolitan area in Greece.
  • E. Kasner
    Kasner is the birth surname of former German chancellor Angela Merkel, reflecting her family name before marriage.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13584f8881908b2527c51f85ae28 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff145ac8e081908b075cee67e82aa3 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff1509e5a48190b69f1a44d793e07d completed May 9, 2026, 11:05 a.m.
Created at: April 10, 2026, 3:19 a.m.