Triple

T22787314
Position Surface form Disambiguated ID Type / Status
Subject Andrew Kelley E564003 entity
Predicate employer P7 FINISHED
Object Zig Software Foundation 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 Software Foundation | Statement: [Andrew Kelley, employer, Zig Software Foundation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zig Software Foundation
Context triple: [Andrew Kelley, employer, Zig Software Foundation]
  • A. Zig Software Foundation chosen
    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
    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. Bytecode Alliance
    Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
  • E. Rust Foundation
    The Rust Foundation is a non-profit organization that supports the development, ecosystem, and community of the Rust programming language.
  • 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.