Triple

T21560058
Position Surface form Disambiguated ID Type / Status
Subject Heavy Weather E531990 entity
Predicate featuresCharacter P626 FINISHED
Object Lord Tilbury E531993 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: Lord Tilbury | Statement: [Heavy Weather, featuresCharacter, Lord Tilbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Tilbury
Context triple: [Heavy Weather, featuresCharacter, Lord Tilbury]
  • A. Lord Tilbury chosen
    Lord Tilbury is a recurring comic magnate and publishing tycoon in P. G. Wodehouse’s Blandings Castle stories, known for his scheming attempts to expand his business empire.
  • B. Lord Tavistock
    Lord Tavistock is the courtesy title traditionally borne by the heir apparent to the Duke of Bedford in the British peerage.
  • C. Lord Selborne
    Lord Selborne was a British statesman and Conservative politician who held several high offices in the late 19th and early 20th centuries, including leadership roles in naval administration and colonial governance.
  • D. Lord Havers
    Lord Havers was a British Conservative politician and barrister who served as Lord Chancellor and held several senior legal offices in the UK government.
  • E. Sir Hugh Tyrold
    Sir Hugh Tyrold is a central figure in Fanny Burney’s novel "Camilla," portrayed as a well-meaning but often imprudent country gentleman whose decisions significantly shape the fates of his young relatives.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e2db2c81908b965312c50d4354 completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eeeb5c6081908267b5825acddad5 completed May 17, 2026, 4:38 p.m.
Created at: April 16, 2026, 6:29 p.m.