Triple

T15554628
Position Surface form Disambiguated ID Type / Status
Subject Bugzy Malone E370835 entity
Predicate notableWork P4 FINISHED
Object Memory Lane E367131 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: Memory Lane | Statement: [Bugzy Malone, notableWork, Memory Lane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memory Lane
Context triple: [Bugzy Malone, notableWork, Memory Lane]
  • A. Memory Lane chosen
    "Memory Lane" is a popular track by British grime artist Bugzy Malone that reflects on his past and personal struggles.
  • B. Memory Lane
    Memory Lane is a narrow, atmospheric alleyway in Tokyo’s Shinjuku district famous for its tiny yakitori bars, traditional eateries, and nostalgic postwar ambiance.
  • C. Shady Lane
    "Shady Lane" is an indie rock song by the American band Pavement, known for its catchy melody and characteristically offbeat, lo-fi style.
  • D. Smile Road
    Smile Road is a creative work associated with English actress and singer-songwriter Abigail Hopkins.
  • E. Zig Zag Road
    Zig Zag Road is a steep, winding hill road on Box Hill in Surrey, England, famed for its scenic views and use in major cycling events such as the London 2012 Olympic road race.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456209288190aba6debd434af741 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:09 a.m.