Triple

T21839829
Position Surface form Disambiguated ID Type / Status
Subject Ladurlad E539223 entity
Predicate relatedWorkAuthor P22411 FINISHED
Object Robert Southey 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: Robert Southey | Statement: [Ladurlad, relatedWorkAuthor, Robert Southey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Southey
Context triple: [Ladurlad, relatedWorkAuthor, Robert Southey]
  • A. Robert Southey chosen
    Robert Southey was an English Romantic poet, biographer, and historian who served as Poet Laureate of the United Kingdom from 1813 to 1843.
  • B. Henry Herbert Southey
    Henry Herbert Southey was an English physician and medical writer of the early 19th century, noted for his clinical practice and contributions to medical literature.
  • C. Thomas Hood
    Thomas Hood was a 19th-century English poet, author, and humorist best known for his comic verse and poems with strong social and humanitarian themes.
  • D. Ebenezer Ward
    Ebenezer Ward was a 19th-century British publisher best known as a co-founder of the London publishing firm Ward, Lock & Co.
  • E. Samuel Taylor
    Samuel Taylor was an American playwright and screenwriter best known for writing the play and co-writing the film adaptation of "Sabrina" and contributing to several notable mid-20th-century Hollywood films.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7aaa4f081909e869d2e81b07b91 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.