Triple

T21309627
Position Surface form Disambiguated ID Type / Status
Subject Arthur M. Hyde E525293 entity
Predicate appointedBy P257 FINISHED
Object Herbert Hoover 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: Herbert Hoover | Statement: [Arthur M. Hyde, appointedBy, Herbert Hoover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Hoover
Context triple: [Arthur M. Hyde, appointedBy, Herbert Hoover]
  • A. Herbert Hoover chosen
    Herbert Hoover was the 31st president of the United States, known for his humanitarian relief efforts during and after World War I and for leading the country at the onset of the Great Depression.
  • B. William H. Hoover
    William H. Hoover was a prominent businessman and civic leader after whom the city of Hoover, Alabama, was named.
  • C. Calvin Coolidge
    Calvin Coolidge was the 30th president of the United States, known for his quiet demeanor, pro-business policies, and leadership during the economic prosperity of the 1920s.
  • D. Calvin Coolidge Dickinson
    Calvin Coolidge Dickinson was a local benefactor whose legacy in the Northampton, Massachusetts area is commemorated through the naming of Cooley Dickinson Hospital.
  • E. Mr. Roosevelt
    Mr. Roosevelt is a 2017 indie comedy film written, directed by, and starring Noël Wells, following a struggling comedian who returns to her college town after a personal loss.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aaa56fc81909ba7649302528269 completed April 21, 2026, 11:08 a.m.
Created at: April 16, 2026, 4:06 p.m.