Triple

T5923101
Position Surface form Disambiguated ID Type / Status
Subject ISWIM E131742 entity
Predicate proposedBy P32 FINISHED
Object Peter Landin E554844 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: Peter Landin | Statement: [ISWIM, proposedBy, Peter Landin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Landin
Context triple: [ISWIM, proposedBy, Peter Landin]
  • A. Peter Landin chosen
    Peter Landin was a pioneering British computer scientist whose work on programming language theory and functional programming profoundly influenced the design of modern languages.
  • 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. Henny Backus
    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.
  • 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. Robin Milner
    Robin Milner was a pioneering British computer scientist known for his foundational work in programming language theory, type systems, and process calculi, including the development of ML and the π-calculus.
  • 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03804d9808190829a418adb7864aa completed March 22, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
Created at: March 22, 2026, 4 p.m.