Triple

T7582570
Position Surface form Disambiguated ID Type / Status
Subject Hugh Percy, 1st Duke of Northumberland E179524 entity
Predicate familyName P18 FINISHED
Object Percy E172159 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: Percy | Statement: [Hugh Percy, 1st Duke of Northumberland, familyName, Percy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Percy
Context triple: [Hugh Percy, 1st Duke of Northumberland, familyName, Percy]
  • A. Percy chosen
    Percy is a masculine given name of Old French origin, famously borne by American physicist and Nobel laureate Percy W. Bridgman.
  • B. Percy LeSueur
    Percy LeSueur was a prominent early 20th-century Canadian ice hockey goaltender and later coach and manager, recognized as a Hall of Famer for his contributions to the sport.
  • C. Riordan
    Riordan is a surname of Irish origin borne by various notable individuals in politics, literature, and other fields.
  • D. Percy Jackson
    Percy Jackson is the demigod son of Poseidon and the main protagonist of Rick Riordan’s bestselling fantasy book series, known for his adventures in a modern world where Greek mythology is real.
  • E. Jackson-Perseus
    Jackson-Perseus is a publishing imprint under the Perseus Books Group, known for releasing a range of nonfiction and trade titles.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f978341081909e009c410ffc5039 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8617b8934819094f596e6a037e468 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.