Triple
T6897398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarred Sumner |
E159404
|
entity |
| Predicate | programmingLanguage |
P1592
|
FINISHED |
| Object | Zig |
E131740
|
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: Zig | Statement: [Jarred Sumner, programmingLanguage, Zig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zig Context triple: [Jarred Sumner, programmingLanguage, Zig]
-
A.
Zig
Zig is a distinctive line of athletic footwear from Reebok known for its zigzag-shaped sole designed to enhance cushioning and energy return.
-
B.
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.
-
C.
Zig Software Foundation
The Zig Software Foundation is the organization responsible for stewarding the development, ecosystem, and community of the Zig programming language.
-
D.
Zed
Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
-
E.
Zog
Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748e5182c81908ed01d1091933d09 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.