Triple

T18169790
Position Surface form Disambiguated ID Type / Status
Subject The Bride of Abydos E434993 entity
Predicate basedOnWorkAuthor P2806 FINISHED
Object Lord Byron 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: Lord Byron | Statement: [The Bride of Abydos, basedOnWorkAuthor, Lord Byron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lord Byron
Context triple: [The Bride of Abydos, basedOnWorkAuthor, Lord Byron]
  • A. Lord Byron chosen
    Lord Byron was a leading British Romantic poet renowned for his flamboyant lifestyle and works such as "Childe Harold's Pilgrimage" and "Don Juan."
  • B. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • C. Byron
    Byron is a small city in central Georgia, United States, known for its historic downtown and location along major transportation routes near Macon.
  • D. Byron
    Byron is a surname of English origin borne by various notable individuals across fields such as literature, politics, and the arts.
  • E. Byron
    Byron is a masculine given name of Old English origin, commonly associated with the English Romantic poet Lord Byron.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df555af081908a2f12bce6a13f56 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.