Triple

T23103994
Position Surface form Disambiguated ID Type / Status
Subject Safety E576109 entity
Predicate publisherOfFirstBookEdition P7323 FINISHED
Object Sidgwick & Jackson 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: Sidgwick & Jackson | Statement: [Safety, publisherOfFirstBookEdition, Sidgwick & Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sidgwick & Jackson
Context triple: [Safety, publisherOfFirstBookEdition, Sidgwick & Jackson]
  • A. Sidgwick & Jackson chosen
    Sidgwick & Jackson is a British publishing house known for producing a wide range of non-fiction and literary works, including notable political memoirs.
  • B. Fennemore Craig
    Fennemore Craig is a longstanding U.S. law firm known for providing business and litigation services across the American West.
  • C. Humphreys & Wharton
    Humphreys & Wharton was an early American shipbuilding firm known for constructing major U.S. Navy vessels in the late 18th and early 19th centuries.
  • D. Briggs & Young
    Briggs & Young is a music production duo best known for producing the compilation album "Greatest Hits."
  • E. Sweet & Maxwell
    Sweet & Maxwell is a prominent UK-based legal publisher known for producing authoritative law books, journals, and online legal information services.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18deb702c819099f2e2141706f00e completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.