Triple
T22375714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | searchfox.org |
E553146
|
entity |
| Predicate | supportsProject |
P12986
|
FINISHED |
| Object | SpiderMonkey |
—
|
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: SpiderMonkey | Statement: [searchfox.org, supportsProject, SpiderMonkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SpiderMonkey Context triple: [searchfox.org, supportsProject, SpiderMonkey]
-
A.
SpiderMonkey
chosen
SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
-
B.
Rhino JavaScript engine
Rhino JavaScript engine is an open-source JavaScript implementation written in Java that runs on the JVM and is used to execute JavaScript code within Java-based environments.
-
C.
Nashorn
Nashorn was a German World War II tank destroyer armed with a powerful 88 mm gun and built on a modified Panzer IV chassis.
-
D.
Hermes JavaScript engine
Hermes JavaScript engine is a lightweight, high-performance JavaScript engine optimized for running React Native applications on mobile devices.
-
E.
JavaScriptCore
JavaScriptCore is Apple’s high-performance JavaScript engine used primarily in the Safari web browser and WebKit-based applications.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15807cb748190abd9adc08ca1ad4f |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:45 p.m.