Triple

T17487176
Position Surface form Disambiguated ID Type / Status
Subject How to Make Our Ideas Clear E425805 entity
Predicate influenced P9 FINISHED
Object John Dewey 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: John Dewey | Statement: [How to Make Our Ideas Clear, influenced, John Dewey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dewey
Context triple: [How to Make Our Ideas Clear, influenced, John Dewey]
  • A. John Dewey chosen
    John Dewey was an American philosopher, psychologist, and educational reformer known as a leading figure in pragmatism and progressive education.
  • B. John F. Dewey
    John F. Dewey is a prominent geologist recognized for his influential work in plate tectonics and structural geology.
  • C. George Herbert Mead
    George Herbert Mead was an American philosopher and social psychologist whose work on symbolic interactionism and the social formation of the self profoundly shaped 20th-century social theory.
  • D. William Lawrence James
    William Lawrence James was an early 20th-century American Major League Baseball pitcher, commonly known as Bill James.
  • E. Russell Thorndike
    Russell Thorndike was an English actor and novelist best known for creating the popular "Doctor Syn" series of historical adventure novels.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d2a5208190b25944626e779fdc completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.