Triple

T19581129
Position Surface form Disambiguated ID Type / Status
Subject The Inklings E489987 entity
Predicate hasMember P10 FINISHED
Object Hugo Dyson 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: Hugo Dyson | Statement: [The Inklings, hasMember, Hugo Dyson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Dyson
Context triple: [The Inklings, hasMember, Hugo Dyson]
  • A. Hugo Dyson chosen
    Hugo Dyson was a British literary scholar and Oxford don best known as a member of the Inklings, the informal literary group that included C. S. Lewis and J. R. R. Tolkien.
  • B. Douglas Hadow
    Douglas Hadow was a young British mountaineer best known for being among the party on the first ascent of the Matterhorn in 1865, during which he died in a famous climbing accident on the descent.
  • C. Colin Hodgkin
    Colin Hodgkin is a notable individual who shares the distinguished Hodgkin surname, likely recognized for contributions in a professional or academic field.
  • D. Hugo Townsend
    Hugo Townsend is a British amateur golfer and the son of former RAF officer and royal equerry Peter Townsend.
  • E. Hugo Lamb
    Hugo Lamb is a morally ambiguous, charismatic antihero who appears as a recurring character in several of David Mitchell’s interconnected novels.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640281b7c8190be44268a58df058f completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.