Triple

T20644952
Position Surface form Disambiguated ID Type / Status
Subject Highgate School E507330 entity
Predicate hasAlumni P51 FINISHED
Object John Betjeman 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: John Betjeman | Statement: [Highgate School, hasAlumni, John Betjeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Betjeman
Context triple: [Highgate School, hasAlumni, John Betjeman]
  • A. John Betjeman chosen
    John Betjeman was a British poet, writer, and broadcaster who served as Poet Laureate of the United Kingdom from 1972 until his death.
  • B. Cecil Day-Lewis
    Cecil Day-Lewis was a prominent 20th-century Anglo-Irish poet and novelist who served as Poet Laureate of the United Kingdom.
  • C. Edwin Denison Morgan
    Edwin Denison Morgan was a 19th-century American politician, businessman, and Civil War-era governor of New York who also served as a U.S. senator and influential Republican Party leader.
  • D. Louis MacNeice
    Louis MacNeice was a 20th-century Irish-born British poet and playwright associated with the Auden Group, known for his lyrical, socially aware verse and radio dramas.
  • E. Robert Bridges
    Robert Bridges was an English poet and literary critic best known for serving as Poet Laureate of the United Kingdom in the early 20th century.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1dd79481909de985d03ab861c2 completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.