Triple

T14343261
Position Surface form Disambiguated ID Type / Status
Subject Akka E355653 entity
Predicate developer P73 FINISHED
Object Lightbend E1094361 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: Lightbend | Statement: [Akka, developer, Lightbend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lightbend
Context triple: [Akka, developer, Lightbend]
  • A. Lightbend chosen
    Lightbend is a software company best known for developing the Scala programming language ecosystem and reactive platforms such as the Akka toolkit for building scalable, distributed applications.
  • B. Akka Toolkit
    Akka Toolkit is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM using the actor model.
  • C. Akka HTTP
    Akka HTTP is a toolkit for building asynchronous, high-performance HTTP-based services and clients on the JVM, leveraging Akka’s actor and streaming capabilities.
  • D. Play Framework
    Play Framework is a high-velocity, stateless web application framework for Java and Scala that emphasizes developer productivity and reactive, scalable architectures.
  • E. Typesafe Akka
    Typesafe Akka is the earlier branding of the Akka toolkit, a popular JVM-based framework for building highly concurrent, distributed, and resilient message-driven applications.
  • 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_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_69fd4c3f81e881909f742d0442e99dd6 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.