Triple

T3149547
Position Surface form Disambiguated ID Type / Status
Subject HarperCollins E65842 entity
Predicate hasImprint P2763 FINISHED
Object William Morrow 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 | Statement: [HarperCollins, hasImprint, William Morrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Morrow
Context triple: [HarperCollins, hasImprint, William Morrow]
  • A. Alfred A. Knopf
    Alfred A. Knopf is a prestigious American publishing house known for its high-quality literary fiction and nonfiction titles.
  • B. William Morrow and Company chosen
    William Morrow and Company is a long-established American publishing house known for releasing popular fiction and nonfiction titles.
  • C. Henry Holt
    Henry Holt was an American publisher and co-founder of the prominent New York publishing house Henry Holt and Company in the late 19th century.
  • D. Mulholland Books
    Mulholland Books is a crime, mystery, and suspense-focused publishing imprint of Little, Brown and Company known for thriller and noir fiction.
  • E. George T. Delacorte Jr.
    George T. Delacorte Jr. was an American publisher and philanthropist best known for founding Dell Publishing and funding numerous public cultural landmarks in New York City.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5bf902c8190a490fa55e2dcecc0 completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f94f3881909a277c45c9add0f5 completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.