Triple

T7466109
Position Surface form Disambiguated ID Type / Status
Subject The Analytical Review E176376 entity
Predicate founder P104 FINISHED
Object Joseph Johnson E33017 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: Joseph Johnson | Statement: [The Analytical Review, founder, Joseph Johnson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Johnson
Context triple: [The Analytical Review, founder, Joseph Johnson]
  • A. Joseph Johnson chosen
    Joseph Johnson was an influential 18th-century London publisher and bookseller known for promoting radical, Enlightenment, and early feminist works.
  • B. J. Dodsley
    J. Dodsley was an 18th-century London bookseller and publisher known for issuing significant literary and historical works.
  • C. Robert Dodsley
    Robert Dodsley was an 18th-century English bookseller, publisher, and writer who played a key role in the literary culture of his time, notably supporting and publishing major authors such as Thomas Gray and Samuel Johnson.
  • D. Samuel W. Johnson
    Samuel W. Johnson was a 19th-century American chemist and agricultural scientist who played a key role in organizing the chemical profession in the United States.
  • E. Henry Sharp
    Henry Sharp was an American cinematographer known for his work on numerous early 20th-century films, including the adventure drama "The Iron Mask."
  • 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_69c69f223fd88190b4c69b95d7cbeeda completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3f412908190ac910ecae682d6f6 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c5f1f408190a7d42abe28605ddb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:40 p.m.