Triple

T4195652
Position Surface form Disambiguated ID Type / Status
Subject Karl Bühler E89146 entity
Predicate influenced P9 FINISHED
Object Roman Jakobson E145270 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: Roman Jakobson | Statement: [Karl Bühler, influenced, Roman Jakobson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Jakobson
Context triple: [Karl Bühler, influenced, Roman Jakobson]
  • A. Roman Jakobson chosen
    Roman Jakobson was a pioneering Russian-American linguist and literary theorist whose work in structuralism and phonology profoundly shaped modern linguistics and semiotics.
  • B. Joseph Greenberg
    Joseph Greenberg was an influential American linguist best known for his work on language classification and universals, including proposing major language families such as Nilo-Saharan.
  • C. Leonard Bloomfield
    Leonard Bloomfield was an influential American linguist whose work in the early 20th century helped establish structural linguistics as a rigorous, scientific discipline.
  • D. Ferdinand de Saussure
    Ferdinand de Saussure was a Swiss linguist whose foundational work in structural linguistics profoundly shaped 20th-century humanities and social sciences.
  • E. Paul Kiparsky
    Paul Kiparsky is a prominent linguist known for his influential work in generative phonology and historical linguistics.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af035e87148190a0f0bf48b813ffaa completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a0d7fa88190a2c830e298542068 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.