Triple

T1727512
Position Surface form Disambiguated ID Type / Status
Subject William Huskisson E37531 entity
Predicate familyName P18 FINISHED
Object Huskisson E37531 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: Huskisson | Statement: [William Huskisson, familyName, Huskisson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huskisson
Context triple: [William Huskisson, familyName, Huskisson]
  • A. Huskisson
    Huskisson is a small coastal town on the shores of Jervis Bay in New South Wales, Australia, known for its beaches, marine tourism, and access to nearby national parks.
  • B. William Huskisson chosen
    William Huskisson was a British statesman and economist known for his influential role in promoting free trade and economic reform in the early 19th century.
  • C. Ewart
    Ewart is a given name notably borne by the 19th-century British statesman William Ewart Gladstone.
  • D. Hunte
    The Hunte is a river in northwestern Germany that flows through Lower Saxony before joining the Weser.
  • E. William Keighley
    William Keighley was an American film director and actor best known for his work at Warner Bros. in the 1930s and 1940s, including several notable adventure and crime films.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa637c26988190ad5c400856684825 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8af329a481908cbd3cf351fabfd5 completed March 8, 2026, 2:42 p.m.
Created at: March 4, 2026, 7:30 p.m.