Triple
T12281744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emscripten |
E292730
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | emcc |
E292730
|
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: emcc | Statement: [Emscripten, hasComponent, emcc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: emcc Context triple: [Emscripten, hasComponent, emcc]
-
A.
Emscripten
chosen
Emscripten is an open-source compiler toolchain that converts C and C++ (and other LLVM-based languages) into WebAssembly or JavaScript, enabling native code to run efficiently in web browsers.
-
B.
Wasmtime
Wasmtime is a fast, secure, and embeddable WebAssembly runtime designed for running WebAssembly modules outside the browser in various applications and services.
-
C.
LLVM
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
D.
V8
V8 is an eight-cylinder internal combustion engine configuration arranged in two banks of four cylinders forming a "V" shape, commonly used in high-performance and large vehicles.
-
E.
V8
V8 is Google’s high-performance open-source JavaScript engine, used in Chrome and Node.js to compile and execute JavaScript directly to native machine code.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf2b09c81908a11581d33f65be0 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e70dec8819098199fbb54d888c1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.