Triple

T20015557
Position Surface form Disambiguated ID Type / Status
Subject It's Time E494708 entity
Predicate hasPart P35 FINISHED
Object A Foggy Day (In London Town) NE NERFINISHED

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: A Foggy Day (In London Town) | Statement: [It's Time, hasPart, A Foggy Day (In London Town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Foggy Day (In London Town)
Context triple: [It's Time, hasPart, A Foggy Day (In London Town)]
  • A. A Foggy Day chosen
    "A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
  • B. The Foggy Dew
    "The Foggy Dew" is a traditional Irish ballad commemorating the 1916 Easter Rising and celebrating Irish nationalism.
  • C. Goin' to Town
    "Goin' to Town" is a 1935 American comedy film starring Mae West, known for its witty dialogue and West's trademark bold, comedic persona.
  • D. Dirty Old Town
    "Dirty Old Town" is a folk song written by Ewan MacColl in 1949, widely covered by various artists and known for its evocative depiction of industrial northern England.
  • E. Sweet Georgia Brown
    "Sweet Georgia Brown" is a classic jazz standard, widely recognized for its catchy melody and frequent use in swing and improvisational performances.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623bba1881908440c92f08729ec1 completed April 20, 2026, 5:28 p.m.
Created at: April 11, 2026, 3:34 p.m.