Triple

T4064338
Position Surface form Disambiguated ID Type / Status
Subject Tate E86288 entity
Predicate namedAfter P63 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, namedAfter, Henry Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Tate
Context triple: [Tate, namedAfter, 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. Cecil Healy
    Cecil Healy was an Australian freestyle swimmer best known for winning a gold and silver medal at the 1912 Stockholm Olympics and for his notable sportsmanship in insisting a delayed rival be allowed to compete.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd7896c81909c61ed0d910d9c5f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ae949c819092affaaca97c16d1 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.