Triple

T18206395
Position Surface form Disambiguated ID Type / Status
Subject Bernard Marx E435913 entity
Predicate fictionalUniverse P3758 FINISHED
Object World State 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: World State | Statement: [Bernard Marx, fictionalUniverse, World State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World State
Context triple: [Bernard Marx, fictionalUniverse, World State]
  • A. World State chosen
    World State is the futuristic, highly controlled global society depicted in Aldous Huxley’s dystopian novel "Brave New World," characterized by technological conditioning, rigid social stratification, and the suppression of individuality.
  • B. National World
    National World is a British media company that owns and operates regional and national news brands, including historic titles such as The Scotsman.
  • C. State
    State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
  • D. State
    The State is the governing authority of a defined territory that holds the ultimate power to create and enforce laws, including granting law enforcement agencies their legal authority.
  • E. State
    State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e2234b988190bbe2c2164d61f65f completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.