Triple

T10089124
Position Surface form Disambiguated ID Type / Status
Subject Nova Pilbeam E215295 entity
Predicate relative P37 FINISHED
Object Alfred Tennyson E58639 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: Alfred Tennyson | Statement: [Nova Pilbeam, relative, Alfred Tennyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alfred Tennyson
Context triple: [Nova Pilbeam, relative, Alfred Tennyson]
  • A. Alfred, Lord Tennyson chosen
    Alfred, Lord Tennyson was a prominent 19th-century British poet who served as Poet Laureate and became one of the most celebrated voices of the Victorian age.
  • B. Lionel Tennyson
    Lionel Tennyson was one of the sons of Victorian poet Alfred, Lord Tennyson, known primarily through his connection to his father's life and legacy.
  • C. Frederick Tennyson
    Frederick Tennyson was a 19th-century English poet and the elder brother of Alfred, Lord Tennyson.
  • D. George Clayton Tennyson
    George Clayton Tennyson was an English clergyman and lawyer best known as the father of the poet Alfred, Lord Tennyson.
  • E. Matthew Arnold
    Matthew Arnold was a 19th-century English poet and cultural critic known for works like "Dover Beach" and for his influential essays on literature, education, and society.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd057e32881908bf630559af94906 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.