Triple

T22137927
Position Surface form Disambiguated ID Type / Status
Subject Carl Bernstein E547079 entity
Predicate spouse P13 FINISHED
Object Christine Kuehbeck 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: Christine Kuehbeck | Statement: [Carl Bernstein, spouse, Christine Kuehbeck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Kuehbeck
Context triple: [Carl Bernstein, spouse, Christine Kuehbeck]
  • A. Christine Kuehbeck chosen
    Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
  • B. Christine Kaufmann
    Christine Kaufmann was a German-Austrian actress and author who gained international fame as a child star and later became known for her work in European cinema and television.
  • C. Christine Becker
    Christine Becker is known as the spouse of the acclaimed Polish-born German writer Jurek Becker, author of the novel "Jacob the Liar."
  • D. Christine Nagel
    Christine Nagel is a renowned Swiss perfumer celebrated for creating numerous successful designer and niche fragrances for major luxury brands.
  • E. Susan Kellermann
    Susan Kellermann is an American character actress known for her comedic and eccentric roles in film and television, including a notable appearance in the cult horror-comedy "Elvira, Mistress of the Dark."
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bb78bc8190b74af3a5f6a5348f completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.