Triple

T12540839
Position Surface form Disambiguated ID Type / Status
Subject Menken E299832 entity
Predicate hasNotableBearer P458 FINISHED
Object H.L. Mencken E127200 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: H.L. Mencken | Statement: [Menken, hasNotableBearer, H.L. Mencken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H.L. Mencken
Context triple: [Menken, hasNotableBearer, H.L. Mencken]
  • A. H. L. Mencken chosen
    H. L. Mencken was an influential American journalist, essayist, and cultural critic known for his sharp wit, skepticism of religion and democracy, and incisive commentary on American life in the early 20th century.
  • B. Wilhelmine Mencken
    Wilhelmine Mencken was a German woman of the early 19th century best known as the mother of statesman Otto von Bismarck.
  • C. Irvin S. Cobb
    Irvin S. Cobb was an American humorist, author, and journalist known for his witty short stories, columns, and contributions to early 20th-century newspapers and magazines.
  • D. Murray Kempton
    Murray Kempton was an American journalist, columnist, and Pulitzer Prize–winning writer known for his incisive political commentary and elegant prose.
  • E. John Lardner
    John Lardner was an American sportswriter and journalist known for his witty, insightful columns and essays in publications such as The New Yorker during the mid-20th century.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557cb180819083ee10708320199e completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.