Triple

T6917111
Position Surface form Disambiguated ID Type / Status
Subject Rupert Murdoch E160087 entity
Predicate spouse P13 FINISHED
Object Patricia Booker E160087 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: Patricia Booker | Statement: [Rupert Murdoch, spouse, Patricia Booker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Booker
Context triple: [Rupert Murdoch, spouse, Patricia Booker]
  • A. Patricia Booker chosen
    Patricia Booker is an Australian former flight attendant best known as the first wife of media mogul Rupert Murdoch.
  • B. Patricia Pearcy
    Patricia Pearcy is an American actress best known for her roles in 1970s films and television, including notable appearances in cult and genre movies.
  • C. Patricia Dane
    Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
  • D. Patricia McGuire
    Patricia McGuire is best known as the wife of Hall of Fame college basketball coach and broadcaster Al McGuire.
  • E. Patricia McGuire
    Patricia McGuire is an American higher education leader best known as the longtime president of Trinity Washington University and an advocate for women’s education and social justice.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e034cc81908f1e8f31b055e119 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7882712548190a0c7e5660c61625d completed March 28, 2026, 7:49 a.m.
Created at: March 27, 2026, 2:26 p.m.