Triple

T14066521
Position Surface form Disambiguated ID Type / Status
Subject Roger Hawkins E338487 entity
Predicate associatedWith P37 FINISHED
Object Traffic E142226 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: Traffic | Statement: [Roger Hawkins, associatedWith, Traffic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traffic
Context triple: [Roger Hawkins, associatedWith, 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 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.
  • D. Traffic Unit
    The Traffic Unit is a specialized division of the Bermuda Police Service responsible for enforcing road traffic laws, promoting road safety, and investigating traffic collisions across the island.
  • E. Human Traffic
    "Human Traffic" is a 1999 British independent film that follows a group of young friends over a hedonistic weekend immersed in Cardiff’s club and rave culture.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb669111081909ccd167f41571a00 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.