Triple

T4670015
Position Surface form Disambiguated ID Type / Status
Subject Tate Britain E102938 entity
Predicate founder P104 FINISHED
Object Henry Tate E387902 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: Henry Tate | Statement: [Tate Britain, founder, Henry Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Tate
Context triple: [Tate Britain, founder, Henry Tate]
  • A. Henry Tate chosen
    Henry Tate was a British sugar magnate and philanthropist best known for founding the Tate Gallery in London.
  • B. Henry Burden
    Henry Burden was a 19th-century Scottish-American industrialist and inventor known for revolutionizing iron manufacturing, particularly through his patented horseshoe machine and development of the Burden Iron Works in Troy, New York.
  • C. Henry Hall
    Henry Hall is the son of American actress and comedian Julia Louis-Dreyfus and musician Brad Hall.
  • D. Bartholomew Green
    Bartholomew Green was a prominent early 18th-century Boston printer and publisher known for producing influential colonial American works.
  • E. Richard Rathbone
    Richard Rathbone is a historian known for his scholarship on African history, particularly the political and social history of Ghana.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd634ef5608190925663e988e3585b completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0390c238819089fb54648dfe1e64 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.