Triple

T14178178
Position Surface form Disambiguated ID Type / Status
Subject Beerbongs & Bentleys E351384 entity
Predicate producer P490 FINISHED
Object London on da Track E1018745 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: London on da Track | Statement: [Beerbongs & Bentleys, 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: [Beerbongs & Bentleys, 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. 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.
  • C. 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.
  • D. Streets of London
    "Streets of London" is a folk song, most famously performed by Ralph McTell, that poignantly highlights urban loneliness and social neglect.
  • E. Two Tickets to London
    Two Tickets to London is a 1943 American World War II-era drama film featuring Dooley Wilson among its cast.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61c90abc8190a9b9dc1f50db59fa completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf80f03a48190a5374fb6374255a8 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1:02 a.m.