Triple

T8240510
Position Surface form Disambiguated ID Type / Status
Subject Allen Lane E192521 entity
Predicate employer P7 FINISHED
Object Penguin Books E36370 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: Penguin Books | Statement: [Allen Lane, employer, Penguin Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penguin Books
Context triple: [Allen Lane, employer, Penguin Books]
  • A. Penguin Books chosen
    Penguin Books is a major British publishing house known for its influential paperback editions and wide range of literary and non-fiction titles.
  • B. Puffin Books
    Puffin Books is a prominent children’s book imprint known for publishing classic and contemporary literature for young readers worldwide.
  • C. 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.
  • D. Hodder & Stoughton
    Hodder & Stoughton is a major British publishing house known for producing a wide range of fiction, non-fiction, and religious titles.
  • E. Weidenfeld & Nicolson
    Weidenfeld & Nicolson is a British publishing house known for its influential non-fiction and literary titles.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783e13648190abf34eb8c244ea17 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc2137c88190ad5949df5a7487f2 completed April 2, 2026, 8:05 p.m.
Created at: March 30, 2026, 5:47 p.m.