Triple

T13806552
Position Surface form Disambiguated ID Type / Status
Subject Hardy Cup E331773 entity
Predicate donatedBy P499 FINISHED
Object George Henry Hardy E1061930 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: George Henry Hardy | Statement: [Hardy Cup, donatedBy, George Henry Hardy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Henry Hardy
Context triple: [Hardy Cup, donatedBy, George Henry Hardy]
  • A. George Henry Hardy chosen
    George Henry Hardy was a prominent Canadian sports administrator after whom the Hardy Cup, a historic Canadian football championship trophy, is named.
  • B. Louis Thomas Hardy
    Louis Thomas Hardy is the eldest son of English actor Tom Hardy.
  • C. Sir Charles Hardy
    Sir Charles Hardy was an 18th-century British Royal Navy admiral and colonial governor who served as Commander-in-Chief of the Channel Fleet during the American Revolutionary War.
  • D. George Harding
    George Harding was an architect known for designing the historic Chennai Central railway station in India.
  • E. Edwin Milton Royle
    Edwin Milton Royle was an American playwright best known for his popular stage works in the late 19th and early 20th centuries.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026d98108190acf366a36d97bf92 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8dc1ec0819098c4f32eb3991613 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.