Triple

T4416647
Position Surface form Disambiguated ID Type / Status
Subject Lisp E94990 entity
Predicate influencedBy P9 FINISHED
Object lambda calculus E26971 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: lambda calculus | Statement: [Lisp, influencedBy, lambda calculus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: lambda calculus
Context triple: [Lisp, influencedBy, lambda calculus]
  • A. lambda calculus chosen
    Lambda calculus is a formal system in mathematical logic and computer science that uses function abstraction and application to investigate computation and serves as a foundational model for programming languages.
  • B. Lambda
    Lambda is a General Motors mid-size crossover SUV platform used for vehicles such as the Saturn Outlook.
  • C. Hindley–Milner type system
    The Hindley–Milner type system is a classical polymorphic type system used in many functional programming languages, notable for enabling type inference without explicit type annotations.
  • D. Curry encoding
    Curry encoding is a technique in lambda calculus for representing data structures and algebraic types purely as higher-order functions.
  • E. Church–Rosser property
    The Church–Rosser property is a confluence property of rewriting systems stating that if an expression can be reduced in different ways, all reduction paths can be further reduced to a common equivalent form.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3551afb448190a2ce2000193808ac completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61b56a8819099b5302f1b53f76d completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.