Triple

T23370985
Position Surface form Disambiguated ID Type / Status
Subject With That E593468 entity
Predicate producer P490 FINISHED
Object London on da Track 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: London on da Track | Statement: [With That, producer, London on da Track]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London on da Track
Context triple: [With That, producer, London on da Track]
  • A. London on da Track chosen
    London on da Track is an American record producer and songwriter known for crafting melodic trap and hip-hop beats for major artists like Young Thug, Drake, and Rich Gang.
  • B. Last Train to London
    "Last Train to London" is a 1979 disco-influenced pop rock song by Electric Light Orchestra known for its catchy melody, prominent synthesizers, and danceable groove.
  • C. On the Track
    "On the Track" is a 1975 album by Leon Redbone that introduced his distinctive blend of early jazz, blues, and Tin Pan Alley-style songs.
  • D. So This Is London
    So This Is London is a 1922 stage comedy by Arthur Goodrich that humorously explores cultural clashes between brash Americans and traditional British society.
  • E. The Road to London
    The Road to London is a British film directed by Albert Parker, best known as one of his notable works in early 20th-century cinema.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0b0bdc081908c7852c026ca7ff7 completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:32 p.m.