Triple

T14343331
Position Surface form Disambiguated ID Type / Status
Subject Play Framework E355654 entity
Predicate uses P98 FINISHED
Object Netty
Netty is a high-performance, asynchronous event-driven network application framework for rapid development of maintainable protocol servers and clients in Java.
 E1094374 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: Netty | Statement: [Play Framework, uses, Netty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Netty
Context triple: [Play Framework, uses, Netty]
  • A. NIO
    NIO is a Chinese electric vehicle manufacturer known for its premium smart EVs and innovative battery-swapping technology.
  • B. Jetty
    Jetty is a lightweight, embeddable Java-based web server and servlet container widely used for hosting web applications and supporting modern web protocols.
  • C. Jetty
    Jetty is a celebrated painting by contemporary artist Peter Doig, known for its atmospheric, dreamlike depiction of a solitary figure on a lakeside structure.
  • D. Qpid
    Qpid is an open-source messaging system implementing the AMQP protocol, commonly used as a message broker in distributed and cloud-based applications.
  • E. ZeroMQ
    ZeroMQ is a high-performance asynchronous messaging library that provides lightweight, flexible sockets for building scalable distributed and concurrent applications.
  • 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: Netty
Triple: [Play Framework, uses, Netty]
Generated description
Netty is a high-performance, asynchronous event-driven network application framework for rapid development of maintainable protocol servers and clients in Java.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Netty
Target entity description: Netty is a high-performance, asynchronous event-driven network application framework for rapid development of maintainable protocol servers and clients in Java.
  • A. NIO
    NIO is a Chinese electric vehicle manufacturer known for its premium smart EVs and innovative battery-swapping technology.
  • B. Jetty
    Jetty is a lightweight, embeddable Java-based web server and servlet container widely used for hosting web applications and supporting modern web protocols.
  • C. Jetty
    Jetty is a celebrated painting by contemporary artist Peter Doig, known for its atmospheric, dreamlike depiction of a solitary figure on a lakeside structure.
  • D. Qpid
    Qpid is an open-source messaging system implementing the AMQP protocol, commonly used as a message broker in distributed and cloud-based applications.
  • E. ZeroMQ
    ZeroMQ is a high-performance asynchronous messaging library that provides lightweight, flexible sockets for building scalable distributed and concurrent applications.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e89ed9c8190acdb647ee618e919 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd469d899081909103563f209dd944 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd47fa764c8190b1d691f5847b7a05 completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd492226888190a014b23e506ab19c completed May 8, 2026, 2:23 a.m.
Created at: April 10, 2026, 1:14 a.m.