Triple

T18875939
Position Surface form Disambiguated ID Type / Status
Subject Tony Musante E461685 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: [Tony Musante, notableWork, Traffic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traffic
Context triple: [Tony Musante, notableWork, Traffic]
  • A. Traffic
    "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 chosen
    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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.