Triple

T5964352
Position Surface form Disambiguated ID Type / Status
Subject React Native E132715 entity
Predicate supports P516 FINISHED
Object Hermes JavaScript engine
Hermes JavaScript engine is a lightweight, high-performance JavaScript engine optimized for running React Native applications on mobile devices.
E559060 NE FINISHED

How this triple was built (4 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: Hermes JavaScript engine | Statement: [React Native, supports, Hermes JavaScript engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hermes JavaScript engine
Context triple: [React Native, supports, Hermes JavaScript engine]
  • A. SpiderMonkey
    SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. V8
    V8 is a popular vegetable-based juice brand known for its blended vegetable and fruit beverages marketed as a nutritious drink option.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hermes JavaScript engine
Triple: [React Native, supports, Hermes JavaScript engine]
Generated description
Hermes JavaScript engine is a lightweight, high-performance JavaScript engine optimized for running React Native applications on mobile devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hermes JavaScript engine
Target entity description: Hermes JavaScript engine is a lightweight, high-performance JavaScript engine optimized for running React Native applications on mobile devices.
  • A. SpiderMonkey
    SpiderMonkey is Mozilla's open-source JavaScript engine, written in C/C++ and used primarily in the Firefox web browser.
  • B. 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.
  • C. 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.
  • D. V8
    V8 is a popular vegetable-based juice brand known for its blended vegetable and fruit beverages marketed as a nutritious drink option.
  • 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. chosen

Provenance (5 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a0240cc81909d7c75c7e6d630f7 completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3f32e8481908a6075684287c412 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0ebfa3a9c81908a183f995350366b completed March 23, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69c0ec61672c8190b98cead75cac84d5 completed March 23, 2026, 7:31 a.m.
Created at: March 22, 2026, 4:03 p.m.