Triple

T383488
Position Surface form Disambiguated ID Type / Status
Subject Gothic literature E8728 entity
Predicate notableWork P4 FINISHED
Object Jane Eyre
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.
 E49546 NE FINISHED

How this triple was built (4 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: [Gothic literature, notableWork, Jane Eyre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jane Eyre
Context triple: [Gothic literature, notableWork, Jane Eyre]
  • A. 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.
  • B. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • C. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • D. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • E. Rebecca
    Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jane Eyre
Triple: [Gothic literature, notableWork, Jane Eyre]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jane Eyre
Target entity description: 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.
  • A. 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.
  • B. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • C. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • D. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • E. Rebecca
    Rebecca is a feminine given name of Hebrew origin meaning “to tie” or “to bind,” widely used in English-speaking countries.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec40ff8c81909306eb2dfe1512af completed Feb. 28, 2026, 1:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4034e9fc88190af3bbd460019c025 completed March 1, 2026, 9:13 a.m.
NEDg Description generation batch_69a404d4bca08190ab26445f233d5d82 completed March 1, 2026, 9:20 a.m.
NED2 Entity disambiguation (via description) batch_69a4055b48fc81908a2b7fa1725bbdc4 completed March 1, 2026, 9:22 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.