Triple

T12889300
Position Surface form Disambiguated ID Type / Status
Subject Hermann Duncker E308314 entity
Predicate hasRelative P367 FINISHED
Object Karl Duncker E1009238 NE FINISHED

How this triple was built (2 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: Karl Duncker | Statement: [Hermann Duncker, hasRelative, Karl Duncker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karl Duncker
Context triple: [Hermann Duncker, hasRelative, Karl Duncker]
  • A. Karl Duncker chosen
    Karl Duncker was a German Gestalt psychologist known for his influential work on problem-solving and functional fixedness.
  • B. Wolfgang Köhler
    Wolfgang Köhler was a German psychologist and key figure in Gestalt psychology, known for his pioneering research on insight learning and problem-solving in animals.
  • C. Fritz Kahn
    Fritz Kahn was a German physician and pioneering popular science writer best known for his imaginative, infographic-style illustrations explaining human anatomy and physiology in mechanical and industrial metaphors.
  • D. Heinz Hartmann
    Heinz Hartmann was a pioneering Austrian-born psychoanalyst best known as a founder of ego psychology and for his influential work on the adaptive functions of the ego.
  • E. Charles Hartmann
    Charles Hartmann is a central fictional character in Sebastian Faulks’s novel "The Girl at the Lion d’Or," depicted as a middle-aged, married lawyer and politician who becomes romantically involved with the young waitress Anne Louvet in 1930s France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af57a8b88190a3f15a3e9e02d492 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:39 p.m.