Triple

T19860922
Position Surface form Disambiguated ID Type / Status
Subject Julien Temple E477255 entity
Predicate notableWork P4 FINISHED
Object London: The Modern Babylon NE NERFINISHED

How this triple was built (3 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: The Modern Babylon | Statement: [Julien Temple, notableWork, London: The Modern Babylon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London: The Modern Babylon
Context triple: [Julien Temple, notableWork, London: The Modern Babylon]
  • A. More London
    More London is a modern riverside business and leisure development on the south bank of the River Thames in central London, known for its offices, public spaces, and views of Tower Bridge.
  • B. Microcosm of London
    Microcosm of London is an early 19th-century illustrated book that vividly depicts the architecture, social life, and everyday scenes of London through detailed engravings and accompanying text.
  • C. Wardian London
    Wardian London is a high-rise residential development in London known for its distinctive architecture and extensive use of greenery and private sky gardens.
  • D. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • E. A Survey of London
    A Survey of London is a pioneering late-16th-century topographical and historical account of London, detailing its streets, buildings, customs, and notable inhabitants.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: London: The Modern Babylon
Target entity description: London: The Modern Babylon is a documentary film by Julien Temple that explores the social, cultural, and political history of London through archival footage and music.
  • A. More London
    More London is a modern riverside business and leisure development on the south bank of the River Thames in central London, known for its offices, public spaces, and views of Tower Bridge.
  • B. Microcosm of London
    Microcosm of London is an early 19th-century illustrated book that vividly depicts the architecture, social life, and everyday scenes of London through detailed engravings and accompanying text.
  • C. Wardian London
    Wardian London is a high-rise residential development in London known for its distinctive architecture and extensive use of greenery and private sky gardens.
  • D. London Particular
    London Particular is a classic British crime novel by Christianna Brand, featuring her recurring detective Inspector Cockrill in a fog-shrouded murder mystery.
  • E. A Survey of London
    A Survey of London is a pioneering late-16th-century topographical and historical account of London, detailing its streets, buildings, customs, and notable inhabitants.
  • F. None of above. chosen

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589a68b081908c2f333b6a292a1f completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.