Triple

T4881584
Position Surface form Disambiguated ID Type / Status
Subject Miss Moneypenny E109338 entity
Predicate loyalTo P1201 FINISHED
Object United Kingdom E732 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: United Kingdom | Statement: [Miss Moneypenny, loyalTo, United Kingdom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United Kingdom
Context triple: [Miss Moneypenny, loyalTo, United Kingdom]
  • A. United Kingdom chosen
    The United Kingdom is a sovereign country in northwestern Europe comprising England, Scotland, Wales, and Northern Ireland, known for its parliamentary democracy, global cultural influence, and historic role in world affairs.
  • B. Great Britain
    Great Britain is the name used by the United Kingdom’s athletes competing together as a single national team at the Olympic Games.
  • C. Great Britain
    Great Britain is the large island comprising England, Scotland, and Wales, historically central to the development of the United Kingdom and the British Empire.
  • D. Bretanha
    Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
  • E. England
    England is a country within the United Kingdom, known for its rich history, cultural influence, and major cities such as London and Manchester.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dde6fcc8190a5aa7587f85632bd completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67a7c3188190bc5d75eb2efb653d completed March 21, 2026, 9:40 a.m.
Created at: March 20, 2026, 1:27 p.m.