Triple

T11755785
Position Surface form Disambiguated ID Type / Status
Subject Johann Strauss I E279519 entity
Predicate spouse P13 FINISHED
Object Anna Strauss E279519 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: Anna Strauss | Statement: [Johann Strauss I, spouse, Anna Strauss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Strauss
Context triple: [Johann Strauss I, spouse, Anna Strauss]
  • A. Anna Strauss chosen
    Anna Strauss was the mother of the famed Austrian composer Johann Strauss II, known as the "Waltz King."
  • B. Myrtle Gruenert
    Myrtle Gruenert was the wife of Australian speech therapist Lionel Logue, who famously treated King George VI.
  • C. Rosa Strauss
    Rosa Strauss was an individual significant enough in her community or field to have the Lewis and Rosa Strauss Memorial Fund established in her and Lewis Strauss’s honor.
  • D. Melitta Schmideberg
    Melitta Schmideberg was a British psychoanalyst known for her work on juvenile delinquency and for her critical stance toward her mother Melanie Klein’s theories.
  • E. Marie Kuhn
    Marie Kuhn was the wife of German field marshal Wilhelm von Leeb, a senior commander in the Wehrmacht during World War II.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50c8d708190ad79ecb57b715d04 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a2f0a848190944ba2688c6d7ad2 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.