Triple

T6310361
Position Surface form Disambiguated ID Type / Status
Subject Hugues E141482 entity
Predicate hasRelatedSurname P3889 FINISHED
Object Hughes E119019 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: Hughes | Statement: [Hugues, hasRelatedSurname, Hughes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hughes
Context triple: [Hugues, hasRelatedSurname, Hughes]
  • A. Hughes chosen
    Hughes is a common English and Welsh surname of patronymic origin, derived from the given name Hugh.
  • B. Halleck
    Halleck is a surname most notably associated with American political and military figures, including U.S. Congressman Charles A. Halleck and Civil War general Henry Wager Halleck.
  • C. Langston
    Langston is the given name of Langston Hughes, the influential American poet, social activist, and central figure of the Harlem Renaissance.
  • D. Hillegas
    Hillegas is a surname most notably associated with Michael Hillegas, the first Treasurer of the United States.
  • E. William O. Butler
    William O. Butler was a 19th-century American military officer and Democratic politician from Kentucky who served in the U.S. House of Representatives and gained national prominence as a vice-presidential candidate.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0648074b081908ba661651ba705a7 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45a924081909a1190ce2987b16d completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:28 p.m.