Triple

T18574490
Position Surface form Disambiguated ID Type / Status
Subject No Place to Hide E453950 entity
Predicate publisher P29 FINISHED
Object Metropolitan Books 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: Metropolitan Books | Statement: [No Place to Hide, publisher, Metropolitan Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan Books
Context triple: [No Place to Hide, publisher, Metropolitan Books]
  • A. Metropolitan Books chosen
    Metropolitan Books is an American publishing imprint known for releasing influential and often politically engaged nonfiction works by prominent intellectuals and public thinkers.
  • B. Signet Books
    Signet Books is an American paperback publishing imprint known for releasing popular fiction and genre titles, including works by major authors such as Stephen King.
  • C. Pantheon Books
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • D. Mysterious Press
    Mysterious Press is a publishing imprint specializing in mystery, crime, and suspense fiction.
  • E. Scribner Books
    Scribner Books is a prominent American publishing imprint, historically known for releasing works by major literary figures such as F. Scott Fitzgerald and Ernest Hemingway.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c8c0608190afc99235006bf87f completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.