Triple

T22787293
Position Surface form Disambiguated ID Type / Status
Subject Andrew Kelley E564003 entity
Predicate notableWork P4 FINISHED
Object Zig programming language 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: Zig programming language | Statement: [Andrew Kelley, notableWork, Zig programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zig programming language
Context triple: [Andrew Kelley, notableWork, Zig programming language]
  • A. Zig Software Foundation
    The Zig Software Foundation is the organization responsible for stewarding the development, ecosystem, and community of the Zig programming language.
  • B. Zig
    Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
  • C. Zig chosen
    Zig is a low-level, statically typed programming language focused on performance, safety, and explicit control over memory, often used as a modern alternative to C.
  • D. Cyclone programming language
    Cyclone is a safe dialect of the C programming language designed to prevent common memory-management and type-safety errors while retaining low-level control and performance.
  • E. Vale programming language
    Vale is a memory-safe, performance-focused systems programming language that explores region-based memory management and borrow-checking concepts similar to those in Rust.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c32de6481909ef358d16de98496 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.