Triple

T5473747
Position Surface form Disambiguated ID Type / Status
Subject Pride and Prejudice E122897 entity
Predicate mainCharacter P1183 FINISHED
Object Lydia Bennet E244245 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: Lydia Bennet | Statement: [Pride and Prejudice, mainCharacter, Lydia Bennet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia Bennet
Context triple: [Pride and Prejudice, mainCharacter, Lydia Bennet]
  • A. Lydia Bennet chosen
    Lydia Bennet is the impulsive, flirtatious youngest Bennet sister in Jane Austen’s novel "Pride and Prejudice," whose elopement scandal threatens her family’s reputation.
  • B. Elizabeth Bennet
    Elizabeth Bennet is the intelligent, witty, and strong-minded heroine of Jane Austen's novel "Pride and Prejudice," known for her independent spirit and sharp social insight.
  • C. Emma Woodhouse
    Emma Woodhouse is the clever, wealthy, and somewhat meddlesome heroine of Jane Austen’s novel "Emma," known for her misguided attempts at matchmaking in her small English village.
  • D. Eliza Bennett
    Eliza Bennett is an English actress and singer known for roles in films such as "Nanny McPhee" and "Inkheart" and in television series like "Sweet/Vicious."
  • E. Louisa
    Louisa is a feminine given name of Germanic origin, commonly used in English-speaking countries.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9232ded08190b4142e604319b2ba completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf70d919e08190a4fae4359cf8c951 completed March 22, 2026, 4:32 a.m.
Created at: March 20, 2026, 2:09 p.m.