Triple

T3408370
Position Surface form Disambiguated ID Type / Status
Subject Karl Popper E71829 entity
Predicate spouse P13 FINISHED
Object Josefine Anna Henninger E71829 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: Josefine Anna Henninger | Statement: [Karl Popper, spouse, Josefine Anna Henninger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josefine Anna Henninger
Context triple: [Karl Popper, spouse, Josefine Anna Henninger]
  • A. Josefine Anna Henninger chosen
    Josefine Anna Henninger was the wife of philosopher Karl Popper, accompanying and supporting him throughout much of his academic and personal life.
  • B. Amalie Rohe
    Amalie Rohe was the mother of renowned modernist architect Ludwig Mies van der Rohe.
  • C. Fanny Koch
    Fanny Koch was the mother of Elsa Einstein, making her the maternal grandmother of physicist Albert Einstein.
  • D. Felicitas Radke
    Felicitas Radke was the wife of renowned German actor Conrad Veidt, known for her marriage to this prominent figure of early 20th-century cinema.
  • E. Caroline Marie Autenrieth
    Caroline Marie Autenrieth was the wife of American retail magnate James Cash Penney, founder of the J. C. Penney department store chain.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9056acc8190a9c50ec374851ac8 completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f118f48190a81795289a20efe5 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:15 p.m.