Triple

T4195645
Position Surface form Disambiguated ID Type / Status
Subject Karl Bühler E89146 entity
Predicate spouse P13 FINISHED
Object Charlotte Bühler E420523 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: Charlotte Bühler | Statement: [Karl Bühler, spouse, Charlotte Bühler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Bühler
Context triple: [Karl Bühler, spouse, Charlotte Bühler]
  • A. Charlotte Bühler chosen
    Charlotte Bühler was an influential German-American developmental psychologist known for her pioneering work on child and lifespan development and her contributions to humanistic psychology.
  • B. Amalie Rohe
    Amalie Rohe was the mother of renowned modernist architect Ludwig Mies van der Rohe.
  • C. Elisabeth Vietz
    Elisabeth Vietz was the mother of Austrian composer Franz Schubert, playing a formative role in his early family life and upbringing.
  • D. Bertha Manthey
    Bertha Manthey was the wife of Norwegian historian, teacher, and Nobel Peace Prize–winning political scientist Christian Lous Lange.
  • E. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035e87148190a0f0bf48b813ffaa completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c7045bf08190a5d2bab75a2240d4 completed March 14, 2026, 8:37 p.m.
Created at: March 9, 2026, 3:46 p.m.