Triple

T17649859
Position Surface form Disambiguated ID Type / Status
Subject The Message of Psychic Science to Mothers and Nurses E429457 entity
Predicate hasCreator P806 FINISHED
Object Mary Everest 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: Mary Everest | Statement: [The Message of Psychic Science to Mothers and Nurses, hasCreator, Mary Everest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Everest
Context triple: [The Message of Psychic Science to Mothers and Nurses, hasCreator, Mary Everest]
  • A. Mary Everest chosen
    Mary Everest was a 19th-century British educator and mathematician best known for her innovative ideas on teaching mathematics and for being the wife of logician George Boole.
  • B. Margaretta Scott
    Margaretta Scott was a British actress known for her work in film, theatre, and radio during the mid-20th century.
  • C. Mary Georgina Newton
    Mary Georgina Newton was the wife of pioneering nuclear physicist Ernest Rutherford and a supportive partner throughout his scientific career.
  • D. Jane Bell
    Jane Bell is known as the wife of Henry Bell, a figure associated with early steamship development.
  • E. Dora Wheeler
    Dora Wheeler was an American painter and illustrator of the late 19th and early 20th centuries, known for her portraits and decorative work.
  • 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3c7da48190b38558bc66637687 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.