Triple

T14648570
Position Surface form Disambiguated ID Type / Status
Subject Black Fire E343917 entity
Predicate publisher P29 FINISHED
Object William Morrow and Company E201768 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: William Morrow and Company | Statement: [Black Fire, 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: [Black Fire, 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 (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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ed037c8190a87bf43f839fec05 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d7915c8190ae690810110c0b60 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.