Triple

T21499471
Position Surface form Disambiguated ID Type / Status
Subject Vilém Mathesius E530437 entity
Predicate influenced P9 FINISHED
Object functional sentence perspective theory NE NERFINISHED

How this triple was built (3 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: functional sentence perspective theory | Statement: [Vilém Mathesius, influenced, functional sentence perspective theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: functional sentence perspective theory
Context triple: [Vilém Mathesius, influenced, functional sentence perspective theory]
  • A. functional theory of language
    The functional theory of language is a linguistic framework that explains language primarily in terms of the communicative functions it serves, such as expressing thoughts, conveying information, and influencing others.
  • B. Verbal Behavior
    Verbal Behavior is B. F. Skinner’s influential book that applies the principles of behaviorism to the analysis and explanation of human language.
  • C. oral-formulaic theory
    Oral-formulaic theory is a scholarly framework that explains how traditional oral poets compose and transmit long narrative works using recurring formulas and themes rather than fixed written texts.
  • D. Meaning–Text Theory
    Meaning–Text Theory is a linguistic framework that models how meanings are systematically transformed into texts through multiple levels of representation and formal rules.
  • E. picture theory of language
    The picture theory of language is Ludwig Wittgenstein’s early philosophical view that meaningful propositions function as logical “pictures” of possible states of affairs in the world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: functional sentence perspective theory
Target entity description: Functional sentence perspective theory is a linguistic framework that analyzes how information is structured within a sentence in terms of theme and rheme (given and new information) to explain word order and communicative dynamism.
  • A. functional theory of language
    The functional theory of language is a linguistic framework that explains language primarily in terms of the communicative functions it serves, such as expressing thoughts, conveying information, and influencing others.
  • B. Verbal Behavior
    Verbal Behavior is B. F. Skinner’s influential book that applies the principles of behaviorism to the analysis and explanation of human language.
  • C. oral-formulaic theory
    Oral-formulaic theory is a scholarly framework that explains how traditional oral poets compose and transmit long narrative works using recurring formulas and themes rather than fixed written texts.
  • D. Meaning–Text Theory
    Meaning–Text Theory is a linguistic framework that models how meanings are systematically transformed into texts through multiple levels of representation and formal rules.
  • E. picture theory of language
    The picture theory of language is Ludwig Wittgenstein’s early philosophical view that meaningful propositions function as logical “pictures” of possible states of affairs in the world.
  • F. None of above. chosen

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_69e0c45bd15481909fba5910765cdda2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea5ae154819090299773b373b921 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:24 p.m.