Triple

T6250443
Position Surface form Disambiguated ID Type / Status
Subject The Dead E140031 entity
Predicate author P4 FINISHED
Object Rupert Brooke E26036 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: Rupert Brooke | Statement: [The Dead, author, Rupert Brooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rupert Brooke
Context triple: [The Dead, author, Rupert Brooke]
  • A. Rupert Brooke chosen
    Rupert Brooke was an English poet best known for his idealistic war sonnets written during the early stages of World War I.
  • B. Edward Thomas
    Edward Thomas is a preserved narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • C. Edward Thomas
    Edward Thomas was a British poet and literary critic renowned for his nature-inspired verse and his association with the Georgian poetry movement before his death in World War I.
  • D. Richard Aldington
    Richard Aldington was an English writer and poet best known for his involvement in the Imagist movement and his World War I poetry and novels.
  • E. Alfred Austin
    Alfred Austin was a late 19th-century English poet and critic who became Poet Laureate after Alfred, Lord Tennyson.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633dde348190bbf02a943d94e3be completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c63859155881908767074ea315198c completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:24 p.m.