Triple

T465391
Position Surface form Disambiguated ID Type / Status
Subject Cassell E8434 entity
Predicate hasImprint P2763 FINISHED
Object Cassell Illustrated E8434 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: Cassell Illustrated | Statement: [Cassell, hasImprint, Cassell Illustrated]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassell Illustrated
Context triple: [Cassell, hasImprint, Cassell Illustrated]
  • A. Cassell chosen
    Cassell is a British publishing company known for producing a wide range of books, including notable historical works and reference titles.
  • B. Encyclopaedia Britannica
    Encyclopaedia Britannica is a long-standing, highly respected general knowledge reference work first published in the 18th century and now available in both print and digital formats.
  • C. Chatto & Windus
    Chatto & Windus is a historic British publishing house known for issuing works by prominent authors of the 19th and 20th centuries.
  • D. 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.
  • E. His Majesty's Stationery Office
    His Majesty's Stationery Office is a former UK government department and official publisher responsible for producing and distributing state documents, legislation, and official publications.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd6ec708190b78c7f22deb3ca64 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45297615881908011d248f1c8fd76 completed March 1, 2026, 2:52 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.