Triple

T7143595
Position Surface form Disambiguated ID Type / Status
Subject A Time to Heal E166509 entity
Predicate publisher P29 FINISHED
Object Harper & Row E20557 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: Harper & Row | Statement: [A Time to Heal, publisher, Harper & Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harper & Row
Context triple: [A Time to Heal, 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 (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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d027d0819088598b2a9f71b1b7 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad98576481908b8b82f675079fca completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:46 p.m.