Triple

T2414578
Position Surface form Disambiguated ID Type / Status
Subject Byron Bay E52272 entity
Predicate namedAfter P63 FINISHED
Object John Byron E21404 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: John Byron | Statement: [Byron Bay, namedAfter, John Byron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Byron
Context triple: [Byron Bay, namedAfter, John Byron]
  • A. Sir John Byron
    Sir John Byron was an English nobleman and politician of the 16th century, notable as an ancestor of the poet Lord Byron and a prominent member of the Byron family of Nottinghamshire.
  • B. Byron
    Byron is a small city in central Georgia, United States, known for its historic downtown and location along major transportation routes near Macon.
  • C. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • D. Captain John Byron chosen
    Captain John Byron was a British naval officer and aristocrat best known as the father of the Romantic poet Lord Byron.
  • E. Lord Byron
    Lord Byron was a leading British Romantic poet renowned for his flamboyant lifestyle and works such as "Childe Harold's Pilgrimage" and "Don Juan."
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc94bd7ec81909f5b4a16a406165b completed March 7, 2026, 6:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf4748d0819088aec3bc14dc5519 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:41 p.m.