Triple

T19371359
Position Surface form Disambiguated ID Type / Status
Subject Huwc E484543 entity
Predicate etymologicallyRelatedTo P5801 FINISHED
Object Hugh NE NERFINISHED

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: Hugh | Statement: [Huwc, etymologicallyRelatedTo, Hugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugh
Context triple: [Huwc, etymologicallyRelatedTo, Hugh]
  • A. Hugh chosen
    Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • B. Henry
    Henry is the given name of the influential American architect Henry Hobson Richardson, a key figure in 19th-century architecture.
  • C. Henry
    Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
  • D. Henry
    Henry is the given name of Henry Nottidge Moseley, a 19th-century English naturalist and professor known for his work in zoology and participation in the Challenger expedition.
  • E. Henry
    Henry was the given name of Henry Beaufort, 3rd Duke of Somerset, a prominent Lancastrian military commander during the Wars of the Roses in 15th-century England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e619b09ef08190a8b420316c0b8eb3 completed April 20, 2026, 12:18 p.m.
Created at: April 10, 2026, 1:35 p.m.