Triple

T22001660
Position Surface form Disambiguated ID Type / Status
Subject Casey Silver E543339 entity
Predicate notableWork P4 FINISHED
Object Traffic 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: Traffic | Statement: [Casey Silver, notableWork, Traffic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traffic
Context triple: [Casey Silver, notableWork, Traffic]
  • A. Traffic chosen
    "Traffic" is a 2000 American crime drama film directed by Steven Soderbergh that explores the complex, interwoven impacts of the illegal drug trade from multiple perspectives.
  • B. Traffic
    Traffic was an influential English rock band formed in the late 1960s, known for blending rock, jazz, and psychedelic influences and for launching the career of Steve Winwood.
  • C. Traffic
    "Traffic" is a 2012 drill rap song by Chicago rapper Lil Reese that gained widespread attention for its gritty lyrics and association with the early Chicago drill movement.
  • D. Traffic
    "Traffic" is a popular instrumental trance track by Dutch DJ and producer Tiësto, known for its driving beat and status as one of his signature songs.
  • E. Traffic Unit
    The Traffic Unit is a specialized division of the Tampa Police Department responsible for enforcing traffic laws, investigating vehicle crashes, and promoting roadway safety within the city.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276ae4e0819097bf1b978451f776 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.