Triple

T5310716
Position Surface form Disambiguated ID Type / Status
Subject Hughes E119019 entity
Predicate hasRelatedSurname P3889 FINISHED
Object Hugheson E509867 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: Hugheson | Statement: [Hughes, hasRelatedSurname, Hugheson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugheson
Context triple: [Hughes, hasRelatedSurname, Hugheson]
  • A. Hugheson chosen
    Hugheson is a surname that likely originated as a patronymic form of the name Hughes, meaning "son of Hugh."
  • B. Guy Mountfort
    Guy Mountfort was a British advertising executive, author, and conservationist best known for co-founding the World Wildlife Fund and helping pioneer modern international wildlife conservation efforts.
  • C. Everard
    Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
  • D. Jonathan Hensleigh
    Jonathan Hensleigh is an American screenwriter and film director known for his work on action films such as "Die Hard with a Vengeance" and "The Punisher."
  • E. Graydon Hoare
    Graydon Hoare is a Canadian software developer best known as the original creator of the Rust programming language.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd85343ae08190bd9801ea4eac7003 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf188988688190b4b08b5e0cda8cf5 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:53 p.m.