Triple

T8660063
Position Surface form Disambiguated ID Type / Status
Subject James Austen E205523 entity
Predicate supported P1853 FINISHED
Object Jane Austen E37524 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: Jane Austen | Statement: [James Austen, supported, Jane Austen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Austen
Context triple: [James Austen, supported, Jane Austen]
  • A. Jane Austen chosen
    Jane Austen was an English novelist of the late 18th and early 19th centuries, best known for her incisive social commentary and classic works such as "Pride and Prejudice" and "Sense and Sensibility."
  • B. James Austen
    James Austen was the eldest brother of novelist Jane Austen, known as a clergyman, scholar, and amateur writer who influenced and supported his sister’s literary interests.
  • C. George Austen
    George Austen was an English clergyman and scholar best known as the father of novelist Jane Austen.
  • D. Austen
    Austen is a common English surname most famously associated with the novelist Jane Austen and her family.
  • E. Frances Burney
    Frances Burney was an influential 18th-century English novelist, diarist, and playwright best known for works like "Evelina" that helped shape the development of the English novel.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48701c748190a5f7bd9e2da0e5e9 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9f8cce48190b02f3237be91590e completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:30 p.m.