Triple

T22539732
Position Surface form Disambiguated ID Type / Status
Subject John Simpson E557253 entity
Predicate spouse P13 FINISHED
Object Dee Kruger 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: Dee Kruger | Statement: [John Simpson, spouse, Dee Kruger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dee Kruger
Context triple: [John Simpson, spouse, Dee Kruger]
  • A. Dee Kruger chosen
    Dee Kruger is known as the spouse of British journalist and broadcaster John Simpson.
  • B. Dee Breuer
    Dee Breuer is the wife of comedian Jim Breuer, known to fans through his stories and podcasts where she is often mentioned as a supportive presence in his personal and professional life.
  • C. Sonia Kruger
    Sonia Kruger is an Australian television presenter and actress best known for her work on popular reality and entertainment programs such as Big Brother Australia and The Voice Australia.
  • D. Liz Kruger
    Liz Kruger is a television writer and producer best known for co-creating and showrunning series such as the sci-fi drama "Salvation."
  • E. Diane Heidkrüger
    Diane Heidkrüger is the birth name of Diane Kruger, a German-born actress and former fashion model known for her roles in films such as "Troy," "Inglourious Basterds," and "National Treasure."
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f3196fc819098deffb0c7932ccc completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.