Triple

T1498076
Position Surface form Disambiguated ID Type / Status
Subject Jude Law E29731 entity
Predicate spouse P13 FINISHED
Object Sadie Frost E108075 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: Sadie Frost | Statement: [Jude Law, spouse, Sadie Frost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadie Frost
Context triple: [Jude Law, spouse, Sadie Frost]
  • A. Sadie Frost chosen
    Sadie Frost is an English actress, producer, and fashion designer known for her roles in films like "Bram Stoker's Dracula" and for co-founding the fashion label Frost French.
  • B. Joanna Blunt
    Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
  • C. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • D. Abigail Thaw
    Abigail Thaw is a British actress best known for her role as journalist Dorothea Frazil in the television series "Endeavour" and as the daughter of actors John Thaw and Sheila Hancock.
  • E. Eve Best
    Eve Best is an English actress known for her acclaimed work on stage and screen, including prominent roles in television series like "Nurse Jackie" and "House of the Dragon."
  • 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6ef5ce88190a6b520525a6d42a3 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad58b487c08190bb2b1c259bd39db0 completed March 8, 2026, 11:08 a.m.
Created at: March 1, 2026, 8:12 p.m.