Triple

T8767123
Position Surface form Disambiguated ID Type / Status
Subject Waverley E208364 entity
Predicate hasSequel P1961 FINISHED
Object Guy Mannering E208370 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: Guy Mannering | Statement: [Waverley, hasSequel, Guy Mannering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Mannering
Context triple: [Waverley, hasSequel, Guy Mannering]
  • A. Guy Mannering chosen
    Guy Mannering is a historical novel by Sir Walter Scott that blends romance, adventure, and Scottish local color in a tale of lost heirs, family secrets, and fortune-telling.
  • B. Charles Jervas
    Charles Jervas was an Irish portrait painter and translator of Cervantes who became a prominent figure in early 18th-century London’s artistic and literary circles.
  • C. Lord Hodge
    Lord Hodge is a senior Scottish jurist who serves as Deputy President of the Supreme Court of the United Kingdom.
  • D. Baron Weatherill
    Baron Weatherill was a British Conservative politician who served as Speaker of the House of Commons from 1983 to 1992.
  • E. Arthur Donnithorne
    Arthur Donnithorne is a central character in George Eliot’s novel "Adam Bede," a young squire whose romantic entanglements and moral failings drive much of the story’s conflict.
  • 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_69ca835df7e08190ac875664cca8f9ca completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5eeae70c8190adc2bc2846da0fbf completed March 31, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51a78a98819083ed4e214cd1fd22 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.