Triple

T7360841
Position Surface form Disambiguated ID Type / Status
Subject Kim (novel) E169741 entity
Predicate publisher P29 FINISHED
Object Macmillan Publishers E48100 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: Macmillan Publishers | Statement: [Kim (novel), publisher, Macmillan Publishers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macmillan Publishers
Context triple: [Kim (novel), publisher, Macmillan Publishers]
  • A. Macmillan Publishers chosen
    Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
  • B. HarperCollins
    HarperCollins is a major global publishing company known for producing a wide range of fiction, non-fiction, and educational books.
  • C. Penguin Random House
    Penguin Random House is a major global trade book publisher known for its extensive catalog of fiction and nonfiction titles across numerous imprints.
  • D. The Macmillan Company
    The Macmillan Company was a major American publishing house known for producing influential works in literature, education, and academic scholarship from the late 19th through the 20th century.
  • E. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f15e0280819086627cef15fe18bd completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81ec20db88190b68542feaa9d66ef completed March 28, 2026, 6:32 p.m.
Created at: March 27, 2026, 3:06 p.m.