Triple

T20232059
Position Surface form Disambiguated ID Type / Status
Subject The Good Times E495549 entity
Predicate publisher P29 FINISHED
Object William Morrow and Company NE NERFINISHED

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: William Morrow and Company | Statement: [The Good Times, publisher, William Morrow and Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Morrow and Company
Context triple: [The Good Times, publisher, William Morrow and Company]
  • A. William Morrow and Company chosen
    William Morrow and Company is a long-established American publishing house known for releasing popular 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. St. Martin's Press
    St. Martin's Press is a major American book publisher known for its wide range of commercial fiction and nonfiction titles.
  • D. Henry Holt and Company
    Henry Holt and Company is a long-established American publishing house known for its wide range of literary, nonfiction, and academic titles.
  • E. Mulholland Books
    Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.