Triple

T2084254
Position Surface form Disambiguated ID Type / Status
Subject Mountains Beyond Mountains E45312 entity
Predicate publisher P29 FINISHED
Object Random House E36737 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: [Mountains Beyond Mountains, publisher, Random House]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Random House
Context triple: [Mountains Beyond Mountains, publisher, Random House]
  • A. Random House
    Random House is a major American book publishing company known for releasing a wide range of influential fiction and nonfiction titles.
  • B. Penguin Random House chosen
    Penguin Random House is a major global trade book publisher known for its extensive catalog of fiction and nonfiction titles across numerous imprints.
  • C. Random House Studio
    Random House Studio is a media production division associated with the major publishing company Random House, focused on developing and adapting content for film, television, and other entertainment platforms.
  • D. Simon & Schuster
    Simon & Schuster is a major American publishing company known for producing a wide range of bestselling fiction and nonfiction books.
  • E. Doubleday
    Doubleday is a major American publishing company known for releasing a wide range of influential fiction and nonfiction books.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba524b60819089a11957ce6dbc4b completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69b2031a55148190a1b96af35d109259 completed March 12, 2026, 12:04 a.m.
Created at: March 4, 2026, 7:41 p.m.