Triple

T22442368
Position Surface form Disambiguated ID Type / Status
Subject James Gilmore Backus E554783 entity
Predicate spouse P13 FINISHED
Object Henny Backus 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: Henny Backus | Statement: [James Gilmore Backus, spouse, Henny Backus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henny Backus
Context triple: [James Gilmore Backus, spouse, Henny Backus]
  • A. Henny Backus chosen
    Henny Backus was an American actress and author, best known for her work on stage and screen and for co-writing humorous books with her husband, actor Jim Backus.
  • B. John Backus
    John Backus was an American computer scientist best known for leading the development of the Fortran programming language and contributing foundational work to programming language design and formal notation.
  • C. A.E. Backus
    A.E. Backus was an influential American painter from Florida, best known for his vivid landscape scenes that helped define mid-20th-century Florida art.
  • D. Alan Perlis
    Alan Perlis was an American computer scientist and educator renowned for his pioneering work in programming languages and for being the first recipient of the Turing Award.
  • E. Peter Landin
    Peter Landin was a pioneering British computer scientist whose work on programming language theory and functional programming profoundly influenced the design of modern languages.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae2f7608190b1c1e8bd12ca2162 completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.