Triple

T429711
Position Surface form Disambiguated ID Type / Status
Subject Bertrand Russell E9685 entity
Predicate spouse P13 FINISHED
Object Dora Black E2518 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: Dora Black | Statement: [Bertrand Russell, spouse, Dora Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dora Black
Context triple: [Bertrand Russell, spouse, Dora Black]
  • A. Dora Black chosen
    Dora Black was a British author, educator, and feminist best known for her radical views on marriage and sexuality and her influential partnership with philosopher Bertrand Russell.
  • B. Mary Storer Potter
    Mary Storer Potter was the first wife of American poet Henry Wadsworth Longfellow, whom he married in 1831 and who died tragically young.
  • C. Clarkson Potter
    Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
  • D. Dora
    Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
  • E. Eleanor Black
    Eleanor Black is a fictional character from the television series "The Vampire Diaries," known as a witch and member of the powerful Black family.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eeedf68c81908473d6c6600961bd completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f67dc3881908d4b1c2f1fbc2aaa completed March 1, 2026, 12:22 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.