Triple

T5367606
Position Surface form Disambiguated ID Type / Status
Subject The Japanese Lover E103167 entity
Predicate publisher P29 FINISHED
Object Atria Books E397750 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: Atria Books | Statement: [The Japanese Lover, publisher, Atria Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atria Books
Context triple: [The Japanese Lover, publisher, Atria Books]
  • A. Atria Books chosen
    Atria Books is an imprint of Simon & Schuster known for publishing bestselling commercial and literary fiction and nonfiction by popular contemporary authors.
  • B. Simon & Schuster
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • C. William Morrow and Company
    William Morrow and Company is a long-established American publishing house known for releasing popular fiction and nonfiction titles.
  • D. Mulholland Books
    Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
  • E. Anchor Books
    Anchor Books is a paperback publishing imprint known for issuing classic and contemporary literary works, often in affordable and widely distributed editions.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd8684103081908ed79625b59e4b24 completed March 20, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf2928859881908ac238feca132d07 completed March 21, 2026, 11:26 p.m.
Created at: March 20, 2026, 2:02 p.m.