Triple

T2557939
Position Surface form Disambiguated ID Type / Status
Subject Faulks on Fiction E56771 entity
Predicate featuresWork P36250 FINISHED
Object Jane Eyre E49546 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 Eyre | Statement: [Faulks on Fiction, featuresWork, Jane Eyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Eyre
Context triple: [Faulks on Fiction, featuresWork, 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. 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.
  • D. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • E. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd8317b0481908d6d1436732253b2 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1d937c8190ac6b7bb405a49c3c completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:48 p.m.