Triple

T56096
Position Surface form Disambiguated ID Type / Status
Subject The Demon-Haunted World E1109 entity
Predicate publisher P29 FINISHED
Object Random House E8970 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: Random House | Statement: [The Demon-Haunted World, publisher, Random House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Random House
Context triple: [The Demon-Haunted World, publisher, Random House]
  • A. Random House chosen
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • B. Simon & Schuster
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • C. Alfred A. Knopf
    Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
  • D. Metropolitan Books
    Metropolitan Books is an American publishing imprint known for releasing influential and often politically engaged nonfiction works by prominent intellectuals and public thinkers.
  • E. Pantheon Books
    Pantheon Books is an American publishing imprint known for releasing influential works in politics, history, and critical theory.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b07f4a881909e32115e84da02a3 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a275e0deec819087a968353b9fa8f8 completed Feb. 28, 2026, 4:58 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.