Triple

T56045
Position Surface form Disambiguated ID Type / Status
Subject Contact E1108 entity
Predicate publisher P29 FINISHED
Object Simon & Schuster E3658 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: Simon & Schuster | Statement: [Contact, publisher, Simon & Schuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon & Schuster
Context triple: [Contact, publisher, Simon & Schuster]
  • A. Simon & Schuster chosen
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • B. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • C. Alfred A. Knopf
    Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
  • D. Simon & Schuster adult trade
    Simon & Schuster adult trade is a major publishing imprint of Simon & Schuster that focuses on books for the general adult readership across a wide range of genres.
  • E. 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.
  • 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_69a26c19b6088190af308ead33ae784e completed Feb. 28, 2026, 4:16 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.