Triple

T17117417
Position Surface form Disambiguated ID Type / Status
Subject Mary Beaufort E415375 entity
Predicate familyName P18 FINISHED
Object Beaufort E948021 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: Beaufort | Statement: [Mary Beaufort, familyName, Beaufort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaufort
Context triple: [Mary 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 (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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8075a6c8190954d36eb94d1028a completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0b69108190ba3ba6ba7f8d3935 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:35 a.m.