Triple

T3563931
Position Surface form Disambiguated ID Type / Status
Subject BODR E75399 entity
Predicate hasGuestAppearance P4920 FINISHED
Object October London E369276 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: October London | Statement: [BODR, hasGuestAppearance, October London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: October London
Context triple: [BODR, hasGuestAppearance, October London]
  • A. October London chosen
    October London is an American R&B and soul singer-songwriter known for his smooth, retro-inspired sound and collaborations with artists like Snoop Dogg.
  • B. London, England
    London, England is the capital and largest city of the United Kingdom, renowned as a global center for finance, culture, and politics.
  • C. 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.
  • D. 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.
  • E. Kensington, London, England
    Kensington, London, England is an affluent central London district known for its elegant residential streets, embassies, and cultural landmarks such as Kensington Palace and the Royal Albert Hall.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a76c008190a2056b6d990776fe completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402e8628c81909913974602782b7a completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.