Triple

T200111
Position Surface form Disambiguated ID Type / Status
Subject Kubla Khan E4085 entity
Predicate author P4 FINISHED
Object Samuel Taylor Coleridge E23648 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: Samuel Taylor Coleridge | Statement: [Kubla Khan, author, Samuel Taylor Coleridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Taylor Coleridge
Context triple: [Kubla Khan, author, Samuel Taylor Coleridge]
  • A. Samuel Taylor Coleridge chosen
    Samuel Taylor Coleridge was an English Romantic poet, critic, and philosopher best known for works such as "The Rime of the Ancient Mariner" and "Kubla Khan."
  • B. William Wordsworth
    William Wordsworth was a major English Romantic poet renowned for his nature-inspired verse and for helping launch the Romantic Age in English literature.
  • C. Robert Southey
    Robert Southey was an English Romantic poet, biographer, and historian who served as Poet Laureate of the United Kingdom from 1813 to 1843.
  • D. 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."
  • E. Byron
    Byron is the middle name of American professional golfer Byron Nelson, one of the sport’s early 20th-century legends.
  • 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_69a254bca59881909a15e1496f1508c7 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bcc6dc88190b8c24b485588dfe4 completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a32812176c8190987df03dc08b47a9 completed Feb. 28, 2026, 5:38 p.m.
Created at: Feb. 28, 2026, 2:44 a.m.