Triple

T2138129
Position Surface form Disambiguated ID Type / Status
Subject Ian McKellen E46699 entity
Predicate residence P75 FINISHED
Object London, England E1817 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: London, England | Statement: [Ian McKellen, residence, London, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London, England
Context triple: [Ian McKellen, residence, London, England]
  • A. London, England chosen
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • B. York, England
    York, England is a historic walled city in northern England renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • C. Allondon
    Allondon is a small river in western Switzerland and neighboring France, known for flowing through the Geneva region and its natural, relatively unspoiled surroundings.
  • D. London Victoria
    London Victoria is a major central London railway terminus and Underground station, serving as a key hub for commuter, regional, and Gatwick Airport services.
  • E. Westminster, London, England
    Westminster, London, England is a central district of the UK capital known for housing key government institutions, royal landmarks, and major historical sites.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe012aa481909ffa0a50e58efabb completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5179b3348190bfec5530baf4ca86 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.