Triple

T3545955
Position Surface form Disambiguated ID Type / Status
Subject Boris Johnson E74996 entity
Predicate sibling P363 FINISHED
Object Rachel Johnson E202033 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: Rachel Johnson | Statement: [Boris Johnson, sibling, Rachel Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachel Johnson
Context triple: [Boris Johnson, sibling, Rachel Johnson]
  • A. Rachel Johnson chosen
    Rachel Johnson is a British journalist, author, and broadcaster known for her columns, novels, and frequent appearances on UK political and current affairs programs.
  • B. Francesca Johnson
    Francesca Johnson is the introspective Italian-American farm wife whose brief, life-altering love affair lies at the emotional core of the romantic drama "The Bridges of Madison County."
  • C. Carrie Johnson
    Carrie Johnson is a British political activist and communications professional, best known as the wife of former UK Prime Minister Boris Johnson.
  • D. Lisa Rogers
    Lisa Rogers is a member of the Rogers family, known as the daughter of Canadian businessman and media magnate Ted Rogers.
  • E. Katherine Rogers
    Katherine Rogers was the mother of John Harvard, the English clergyman whose bequest helped found Harvard College in colonial Massachusetts.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4d4c92c8190b237746733b10e50 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:20 p.m.