Triple

T19982532
Position Surface form Disambiguated ID Type / Status
Subject Ferrars E493851 entity
Predicate usedBy P260 FINISHED
Object Fanny Ferrars Dashwood 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: Fanny Ferrars Dashwood | Statement: [Ferrars, usedBy, Fanny Ferrars Dashwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fanny Ferrars Dashwood
Context triple: [Ferrars, usedBy, Fanny Ferrars Dashwood]
  • A. Fanny Dashwood chosen
    Fanny Dashwood is a selfish and manipulative character in Jane Austen's novel "Sense and Sensibility," known for her greed and unkind treatment of her in-laws.
  • B. Fanny Nightingale
    Fanny Nightingale is a person notable for sharing the distinguished Nightingale surname, historically associated with prominent figures such as Florence Nightingale.
  • C. Fanny Harker
    Fanny Harker is a notable individual who shares the surname Harker, recognized enough to be specifically identified among bearers of the name.
  • D. Fanny
    Fanny is one of the central child protagonists in Enid Blyton’s classic fantasy series "The Magic Faraway Tree," known for her adventurous spirit and explorations of the magical lands at the top of the tree.
  • E. Fanny
    Fanny is a feminine given name commonly used in various European and English-speaking countries.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d14c3c08190b1ba8f4da08a4ccf completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:28 p.m.