Triple

T4275324
Position Surface form Disambiguated ID Type / Status
Subject actix-web E97035 entity
Predicate ecosystem P964 FINISHED
Object Actix E97035 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: Actix | Statement: [actix-web, ecosystem, Actix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Actix
Context triple: [actix-web, ecosystem, Actix]
  • A. The Actor
    The Actor is the iconic bronze statuette presented to winners of the Screen Actors Guild Awards, symbolizing excellence in film and television acting.
  • B. The Actor
    The Actor is a 1904 painting by Pablo Picasso from his Rose Period, depicting an elegantly costumed figure in a stylized, theatrical pose.
  • C. The Actor
    The Actor was the nickname of Willie Sutton, a notorious American bank robber famed for his elaborate disguises and theatrical methods during heists.
  • D. actix-web chosen
    actix-web is a powerful, asynchronous web framework for the Rust programming language, known for its high performance and strong type safety.
  • E. Play Framework
    Play Framework is a high-velocity, stateless web application framework for Java and Scala that emphasizes developer productivity and reactive, scalable architectures.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501c35688190a7d15d904f15f968 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b7b0b2ec819090ccf042917ae207 completed March 14, 2026, 7:32 p.m.
Created at: March 12, 2026, 11:07 p.m.