Triple

T2485376
Position Surface form Disambiguated ID Type / Status
Subject De Morgan Medal E55913 entity
Predicate notableRecipient P108 FINISHED
Object Nigel Hitchin E255580 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: Nigel Hitchin | Statement: [De Morgan Medal, notableRecipient, Nigel Hitchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigel Hitchin
Context triple: [De Morgan Medal, notableRecipient, Nigel Hitchin]
  • A. Nigel Hitchin chosen
    Nigel Hitchin is a prominent British mathematician known for his influential work in differential and algebraic geometry, particularly the introduction of Higgs bundles and contributions to gauge theory and mirror symmetry.
  • B. Geoffrey Smith
    Geoffrey Smith is an Australian Anglican archbishop who serves as the national leader (Primate) of the Anglican Church of Australia.
  • C. Richard Sibson
    Richard Sibson is a distinguished geologist recognized for his influential work on fault mechanics and earthquake processes.
  • D. Nigel Shadbolt
    Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
  • E. John Leeson
    John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd175f5ac8190870db9c6cb8e45bd completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af654aab208190adbc5fb6bd500106 completed March 10, 2026, 12:26 a.m.
Created at: March 6, 2026, 9:45 p.m.