Triple

T1408944
Position Surface form Disambiguated ID Type / Status
Subject Till Death Us Do Part E31759 entity
Predicate setting P1957 FINISHED
Object East End of London E110844 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: East End of London | Statement: [Till Death Us Do Part, setting, East End of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East End of London
Context triple: [Till Death Us Do Part, setting, East End of London]
  • A. East End of London chosen
    The East End of London is a historically working-class, culturally diverse area of London known for its industrial past, docklands, and strong local identity.
  • B. London District
    London District is a British Army command responsible for overseeing military units and ceremonial duties in the Greater London area.
  • C. South East London
    South East London is a major subregion of Greater London encompassing a mix of residential suburbs, commercial centers, and historic areas south of the River Thames.
  • D. Kensington Market
    Kensington Market is a vibrant, historically multicultural neighborhood in Toronto known for its eclectic shops, diverse food offerings, and bohemian street culture.
  • E. Peckham
    Peckham is a vibrant, multicultural district in south London known for its lively arts scene, markets, and diverse community.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08ae530081909695bde0d9c46d41 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 7:59 p.m.