Triple

T16886782
Position Surface form Disambiguated ID Type / Status
Subject John Darwin E421559 entity
Predicate hasChild P369 FINISHED
Object Anthony Darwin E214928 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: Anthony Darwin | Statement: [John Darwin, hasChild, Anthony Darwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Darwin
Context triple: [John Darwin, hasChild, Anthony Darwin]
  • A. Anthony Darwin chosen
    Anthony Darwin is the son of British former prison officer John Darwin, who became widely known for his role in the infamous "canoe man" faked-death insurance fraud case.
  • B. Paul Brindley
    Paul Brindley is an English musician best known as the bassist and co-founder of the alternative rock band The Sundays.
  • C. Anthony Bevan
    Anthony Bevan was a British orientalist and scholar of Semitic languages known for his contributions to the study of Arabic and Hebrew texts.
  • D. Allen Gardiner
    Allen Gardiner was a 19th-century British naval officer turned missionary best known for his pioneering but ultimately fatal efforts to establish Christian missions in remote regions such as Patagonia.
  • E. Clive Cheesman
    Clive Cheesman is a British herald and officer of arms known for his work in heraldry and genealogy at the College of Arms in London.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc1f42481909dcf595358c23497 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0180c181b08190a6e8912f4e1da6a0 completed May 11, 2026, 7:09 a.m.
Created at: April 10, 2026, 5:29 a.m.