Triple

T17710478
Position Surface form Disambiguated ID Type / Status
Subject Salvation Lost E441548 entity
Predicate publisher P29 FINISHED
Object Pan Macmillan 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: Pan Macmillan | Statement: [Salvation Lost, publisher, Pan Macmillan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pan Macmillan
Context triple: [Salvation Lost, publisher, Pan Macmillan]
  • A. Pan Macmillan chosen
    Pan Macmillan is a major British publishing house known for producing a wide range of fiction and non-fiction titles by prominent authors.
  • B. Weidenfeld & Nicolson
    Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
  • C. Macmillan Publishers
    Macmillan Publishers is a major global publishing company known for its wide range of academic, educational, and trade books and imprints.
  • D. Jonathan Cape
    Jonathan Cape is a renowned British publishing house best known for issuing Ian Fleming’s James Bond novels and other major 20th-century literary works.
  • E. Penguin Books
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4729a9a9c81908d65ff0bda12c961 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.