Triple

T17601445
Position Surface form Disambiguated ID Type / Status
Subject Karin Stoiber E428709 entity
Predicate spouse P13 FINISHED
Object Edmund Stoiber NE NERFINISHED

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: Edmund Stoiber | Statement: [Karin Stoiber, spouse, Edmund Stoiber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edmund Stoiber
Context triple: [Karin Stoiber, spouse, Edmund Stoiber]
  • A. Edmund Stoiber chosen
    Edmund Stoiber is a German conservative politician who served for many years as Minister-President of Bavaria and became a prominent national figure as the CDU/CSU candidate for chancellor in 2002.
  • B. James Schuette
    James Schuette is an American theatrical set designer known for his work with Chicago’s Steppenwolf Theatre Company and other prominent stages.
  • C. Michael Kohl
    Michael Kohl was an East German diplomat and politician who played a key role in negotiating the 1972 Basic Treaty between the Federal Republic of Germany and the German Democratic Republic.
  • D. Ronald Saland
    Ronald Saland is a film producer best known for his work on the influential 1979 horror movie "The Amityville Horror."
  • E. Don Ettlinger
    Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46c48dfc08190ba360e6082cffa87 completed April 19, 2026, 5:46 a.m.
Created at: April 10, 2026, 5:51 a.m.