Triple

T20232020
Position Surface form Disambiguated ID Type / Status
Subject Growing Up E495548 entity
Predicate mainCharacter P1183 FINISHED
Object Russell Baker 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: Russell Baker | Statement: [Growing Up, mainCharacter, Russell Baker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Baker
Context triple: [Growing Up, mainCharacter, Russell Baker]
  • A. Russell Baker chosen
    Russell Baker was an American Pulitzer Prize–winning journalist, humorist, and author best known for his long-running New York Times column and his memoir "Growing Up."
  • B. Art Buchwald
    Art Buchwald was a Pulitzer Prize–winning American humorist and political satirist best known for his witty newspaper columns lampooning Washington politics and American life.
  • C. Calvin Trillin
    Calvin Trillin is an American journalist, humorist, and author known for his witty essays, food writing, and long association with The New Yorker.
  • D. Joe Franklin
    Joe Franklin was an American radio and television host famed as a pioneer of the talk show format and for his long-running New York City program.
  • E. Willard Van Dyke
    Willard Van Dyke was an American filmmaker and photographer known for his socially conscious documentaries and his role in the development of modern documentary film in the United States.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.