Triple

T19111667
Position Surface form Disambiguated ID Type / Status
Subject Louisa Beaufort E467804 entity
Predicate familyName P18 FINISHED
Object Beaufort 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: Beaufort | Statement: [Louisa Beaufort, familyName, Beaufort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaufort
Context triple: [Louisa Beaufort, familyName, Beaufort]
  • A. Beaufort
    Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
  • B. Beaufort
    Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
  • C. Beaufort
    Beaufort is a character in Frances Burney’s satirical play "The Witlings," which critiques the pretensions and follies of fashionable 18th-century society.
  • D. Beaufort chosen
    Beaufort is an English noble family name historically associated with a prominent cadet branch of the House of Lancaster in medieval England.
  • E. Beaufort, South Carolina
    Beaufort, South Carolina is a historic coastal city known for its well-preserved antebellum architecture, scenic waterfront, and role as a cultural center of the South Carolina Lowcountry.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e394969c81909d09b2300ea0e041 completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:04 p.m.