Triple

T22884829
Position Surface form Disambiguated ID Type / Status
Subject If I Should Fall from Grace with God E567574 entity
Predicate includesSong P7178 FINISHED
Object Lullaby of London 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: Lullaby of London | Statement: [If I Should Fall from Grace with God, includesSong, Lullaby of London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lullaby of London
Context triple: [If I Should Fall from Grace with God, includesSong, Lullaby of London]
  • A. So Long, London
    "So Long, London" is a melancholic breakup song by Taylor Swift from her 2024 album *The Tortured Poets Department*, reflecting on the end of a long-term relationship tied to the city of London.
  • B. London Belongs to Me
    London Belongs to Me is a 1948 British comedy-drama film, based on Norman Collins' novel, that follows the eccentric residents of a London boarding house on the eve of World War II.
  • C. London Song
    "London Song" is a musical track whose title suggests a thematic or lyrical connection to the city of London.
  • D. September Song
    "September Song" is a popular 1938 American standard composed by Kurt Weill with lyrics by Maxwell Anderson, known for its melancholic reflection on aging and the passage of time.
  • E. Give My Love to London
    Give My Love to London is a 2014 studio album by English singer Marianne Faithfull that blends rock, folk, and poetic lyricism with contributions from several notable songwriters and musicians.
  • 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: Lullaby of London
Target entity description: "Lullaby of London" is a melancholic folk-influenced song by The Pogues, noted for its poetic lyrics and haunting evocation of homesickness and urban loneliness.
  • A. So Long, London
    "So Long, London" is a melancholic breakup song by Taylor Swift from her 2024 album *The Tortured Poets Department*, reflecting on the end of a long-term relationship tied to the city of London.
  • B. London Belongs to Me
    London Belongs to Me is a 1948 British comedy-drama film, based on Norman Collins' novel, that follows the eccentric residents of a London boarding house on the eve of World War II.
  • C. London Song
    "London Song" is a musical track whose title suggests a thematic or lyrical connection to the city of London.
  • D. September Song
    "September Song" is a popular 1938 American standard composed by Kurt Weill with lyrics by Maxwell Anderson, known for its melancholic reflection on aging and the passage of time.
  • E. Give My Love to London
    Give My Love to London is a 2014 studio album by English singer Marianne Faithfull that blends rock, folk, and poetic lyricism with contributions from several notable songwriters and musicians.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.