Triple

T11214690
Position Surface form Disambiguated ID Type / Status
Subject John Alcock E265403 entity
Predicate hasRelative P367 FINISHED
Object Charles Alcock E883016 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: Charles Alcock | Statement: [John Alcock, hasRelative, Charles Alcock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Alcock
Context triple: [John Alcock, hasRelative, Charles Alcock]
  • A. Andrew Crommelin
    Andrew Crommelin was a British astronomer known for his work on comet orbits and his role in early 20th-century observational expeditions.
  • B. Rutherford Alcock chosen
    Rutherford Alcock was a 19th-century British diplomat best known as the first British consul in Japan and for helping open the country to Western influence.
  • C. Sir William Lyne
    Sir William Lyne was an Australian politician who served as Premier of New South Wales and played a key role in the movement toward Australian Federation.
  • D. George Buckley
    George Buckley is a British businessman best known for serving as the chairman and CEO of 3M.
  • E. Philip Christison
    Philip Christison was a British Army general who held senior commands in World War II, particularly in Southeast Asia.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8e8eef48190932a85784ce15c86 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e49762e3188190ba3c0e01cf04f6a1 completed April 19, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:30 p.m.