Triple

T12567168
Position Surface form Disambiguated ID Type / Status
Subject John Lavery E295501 entity
Predicate fullName P16 FINISHED
Object Sir John Lavery E295501 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: Sir John Lavery | Statement: [John Lavery, fullName, Sir John Lavery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir John Lavery
Context triple: [John Lavery, fullName, Sir John Lavery]
  • A. John Lavery chosen
    John Lavery was an Irish-born British painter renowned for his society portraits and official war art during the late 19th and early 20th centuries.
  • B. William Orpen
    William Orpen was a prominent Irish-born British painter best known for his powerful and detailed portraits and official war art produced during the First World War.
  • C. George Washington Watts
    George Washington Watts was an American industrialist and philanthropist best known for helping build the tobacco empire that shaped Durham, North Carolina’s early economic growth.
  • D. Augustus John
    Augustus John was a prominent early 20th-century Welsh painter and etcher known for his vivid portraits and bohemian lifestyle.
  • E. Edward Poynter
    Edward Poynter was a prominent 19th-century British painter and designer who became President of the Royal Academy and is known for his historical and classical subjects.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66861c7d8819090f09d4a131da402 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 11:49 p.m.