Triple

T6634913
Position Surface form Disambiguated ID Type / Status
Subject Decline and Fall E150423 entity
Predicate publisher P29 FINISHED
Object Chapman and Hall E98684 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: Chapman and Hall | Statement: [Decline and Fall, publisher, Chapman and Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chapman and Hall
Context triple: [Decline and Fall, publisher, Chapman and Hall]
  • A. Chapman and Hall chosen
    Chapman and Hall was a prominent 19th-century British publishing house best known for issuing works by major Victorian authors such as Charles Dickens and Anthony Trollope.
  • B. Van Nostrand
    Van Nostrand was an American publishing company known for producing influential academic and professional works in fields such as psychology, science, and engineering.
  • C. Routledge & Kegan Paul
    Routledge & Kegan Paul was a prominent British academic and philosophical publishing house known for issuing influential works in the humanities and social sciences.
  • D. Wiley
    Wiley is a masculine given name, often associated with notable American figures such as aviator Wiley Post.
  • E. Cambridge University Press
    Cambridge University Press is the publishing business of the University of Cambridge and one of the world’s oldest and most prestigious academic and educational publishers.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcc1c9c819087fcde19a5d49fd2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7918c208190924c1906c7886a2c completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 1:59 p.m.