Triple

T2855041
Position Surface form Disambiguated ID Type / Status
Subject Against the Day E63179 entity
Predicate publisher P29 FINISHED
Object Penguin Press E36370 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: Penguin Press | Statement: [Against the Day, publisher, Penguin Press]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penguin Press
Context triple: [Against the Day, publisher, Penguin Press]
  • A. Penguin Books chosen
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • B. Weidenfeld & Nicolson
    Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
  • C. W. W. Norton & Company
    W. W. Norton & Company is an American independent publishing house known for its influential nonfiction, literary works, and widely used academic texts.
  • D. Seal Press
    Seal Press is a publishing imprint known for releasing books that focus on women's issues, feminism, and diverse female voices.
  • E. Allen Lane
    Allen Lane was a British publisher who founded Penguin Books and pioneered the mass-market paperback revolution in the 20th century.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf60852c8190b66c8719c63a723e completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d8d0eec8190b0b29407264fb2bd completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.