Triple

T21565933
Position Surface form Disambiguated ID Type / Status
Subject Going for the Rain E532161 entity
Predicate publisher P29 FINISHED
Object Harper & Row 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: Harper & Row | Statement: [Going for the Rain, publisher, Harper & Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harper & Row
Context triple: [Going for the Rain, publisher, Harper & Row]
  • A. Harper & Row chosen
    Harper & Row was a major American publishing house known for producing influential works in literature, education, and academic scholarship.
  • B. Appleton-Century
    Appleton-Century was an American publishing company known for producing influential academic and scientific works in the early to mid-20th century.
  • C. Harcourt Brace & World
    Harcourt Brace & World was a major American publishing company known for its influential catalog of academic, literary, and educational works in the mid-20th century.
  • D. Henry Regnery Company
    Henry Regnery Company was a prominent American conservative publishing house known for issuing influential right-leaning political and intellectual works in the mid-20th century.
  • E. Doubleday
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9c912a08190952bbc9217a957d9 completed April 27, 2026, 4:44 a.m.
Created at: April 16, 2026, 6:30 p.m.