Triple

T7289756
Position Surface form Disambiguated ID Type / Status
Subject Positions E163960 entity
Predicate writer P1360 FINISHED
Object London on da Track E376299 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: [Positions, writer, London on da Track]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London on da Track
Context triple: [Positions, writer, London on da Track]
  • A. 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.
  • B. Two Tickets to London
    Two Tickets to London is a 1943 American World War II-era drama film featuring Dooley Wilson among its cast.
  • C. Blue Streak
    Blue Streak is a 1999 action-comedy film starring Martin Lawrence as a jewel thief who poses as a police officer to retrieve a hidden diamond.
  • D. K.E. on the Track chosen
    K.E. on the Track is an American hip-hop record producer known for his distinctive trap-influenced beats and collaborations with various rap artists.
  • E. The Blackberry Train
    The Blackberry Train is the debut solo album by English musician James McCartney, blending melodic rock and introspective songwriting.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6d4e308190af6b8c237988d7d8 completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e53ab41c8190b081e90fa6a1145c completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3 p.m.