Triple

T10516797
Position Surface form Disambiguated ID Type / Status
Subject St. John Rivers E248054 entity
Predicate asksToMarry P94332 FINISHED
Object Jane Eyre E49546 NE FINISHED

How this triple was built (3 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 Eyre | Statement: [St. John Rivers, asksToMarry, Jane Eyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jane Eyre
Context triple: [St. John Rivers, asksToMarry, Jane Eyre]
  • A. Jane Eyre chosen
    Jane Eyre is a classic 1847 novel by Charlotte Brontë that blends Gothic elements with a deeply personal coming-of-age story about an orphaned governess seeking love, independence, and moral integrity.
  • B. Wuthering Heights
    Wuthering Heights is Emily Brontë’s classic 1847 novel that blends dark romance and psychological drama on the Yorkshire moors, renowned for its intense characters and innovative narrative structure.
  • C. The Tenant of Wildfell Hall
    The Tenant of Wildfell Hall is an 1848 novel by Anne Brontë that follows a mysterious, independent woman who escapes an abusive marriage and challenges Victorian norms around gender, morality, and marriage.
  • D. Shirley
    "Shirley" is a social and political novel by Charlotte Brontë set during the industrial unrest of early 19th-century England, exploring themes of class conflict, gender roles, and economic hardship.
  • E. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: asksToMarry
Context triple: [St. John Rivers, asksToMarry, Jane Eyre]
  • A. acceptsMarriageTo
    Indicates that one entity formally agrees to enter into a marriage with another entity.
  • B. seeksToArrangeMarriageFor
    Indicates an entity’s intention or effort to organize or facilitate a marriage for another entity.
  • C. choseAsHusband
    Indicates that one entity selected another entity to be her husband, typically as a marital partner.
  • D. arrangedMarriageFor
    Indicates that one entity has organized or set up a marriage for another entity.
  • E. attemptedMarriage
    Indicates that one entity tried or intended to enter into a marital relationship with another entity, regardless of whether the marriage was completed or legally recognized.
  • F. None of above. chosen

Provenance (5 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cc58b081908ef15aa89b396db6 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69de22087d008190a9db6080b8c10f5d completed April 14, 2026, 11:16 a.m.
PD Predicate disambiguation batch_69d4fb919ea08190bcc1193e2014d437 completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d4fe058fcc81909428137d9ffd6d90 completed April 7, 2026, 12:52 p.m.
Created at: April 6, 2026, 12:28 p.m.