Triple

T7610693
Position Surface form Disambiguated ID Type / Status
Subject Milner's Kindergarten E172226 entity
Predicate hasMember P10 FINISHED
Object John Buchan E490322 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: John Buchan | Statement: [Milner's Kindergarten, hasMember, John Buchan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Buchan
Context triple: [Milner's Kindergarten, hasMember, John Buchan]
  • A. John Buchan chosen
    John Buchan was a Scottish novelist, historian, and politician best known for his adventure novel "The Thirty-Nine Steps" and for serving as Governor General of Canada.
  • B. Peter Fleming
    Peter Fleming was a British travel writer, journalist, and adventurer, best known for his travel books and for his work as a wartime intelligence officer.
  • C. William Fleming
    William Fleming is a relatively common personal name shared by multiple notable individuals across fields such as politics, education, and sports.
  • D. Sir William Fleming
    Sir William Fleming was a notable British figure historically associated with the village of Nettlebed in Oxfordshire, England.
  • E. Max Aitken
    Max Aitken, later known as Lord Beaverbrook, was a Canadian-born British newspaper magnate, politician, and influential figure in early 20th-century media and wartime propaganda.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa20ac2c8190ac7ab90b4df406b6 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c868600c7c81909cdeebdb5b2bdaf3 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.