Triple

T216070
Position Surface form Disambiguated ID Type / Status
Subject The Restaurant at the End of the Universe E4107 entity
Predicate publisher P29 FINISHED
Object Pan Books E12977 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: Pan Books | Statement: [The Restaurant at the End of the Universe, publisher, Pan Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pan Books
Context triple: [The Restaurant at the End of the Universe, publisher, Pan Books]
  • A. Pan Books chosen
    Pan Books is a British publishing imprint known for producing popular fiction and classic titles, including major science fiction works.
  • B. Pocket Books
    Pocket Books is a long-running American mass-market paperback publisher known for popular fiction and non-fiction titles, operating as an imprint of Simon & Schuster.
  • C. Gallery Books
    Gallery Books is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles, including bestsellers and works by popular contemporary authors.
  • D. Howard Books
    Howard Books is a Christian and inspirational book publishing imprint of Simon & Schuster.
  • E. Times Books
    Times Books is a publishing imprint known for producing nonfiction works, particularly in the fields of history, politics, and current affairs.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c4edfa081909fe97c86c3c7801d completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a33e4057508190afeea371e2d04e6d completed Feb. 28, 2026, 7:13 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.