Triple

T1371532
Position Surface form Disambiguated ID Type / Status
Subject Greyhound Hall of Fame E30121 entity
Predicate hasNotableInductee P304 FINISHED
Object Downing E115760 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: Downing | Statement: [Greyhound Hall of Fame, hasNotableInductee, Downing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Downing
Context triple: [Greyhound Hall of Fame, hasNotableInductee, Downing]
  • A. Downing chosen
    Downing is a surname most notably associated with Andrew Jackson Downing, a pioneering 19th-century American landscape designer and writer.
  • B. Whitehall
    Whitehall is the central London district that serves as the administrative heart of the United Kingdom, housing many key government departments and ministries.
  • C. Lansdowne House
    Lansdowne House was an 18th-century London townhouse renowned for its neoclassical interiors designed by the architect Robert Adam.
  • D. Downe
    Downe is a village in the London Borough of Bromley, England, best known as the home of Down House where Charles Darwin lived and worked.
  • E. Tower Green
    Tower Green is a grassy courtyard within the Tower of London historically known as the site of several high-profile executions, including those of Anne Boleyn and Catherine Howard.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f314c081909c0ab80397d96abb completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd481de608190bed1dc385209320e completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:57 p.m.