Triple

T23374148
Position Surface form Disambiguated ID Type / Status
Subject Brian Eastman E593558 entity
Predicate notableWork P4 FINISHED
Object Traffik 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: Traffik | Statement: [Brian Eastman, notableWork, Traffik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traffik
Context triple: [Brian Eastman, notableWork, Traffik]
  • A. Traffik
    Traffik is a 2018 American thriller film in which Paula Patton stars as a woman whose romantic getaway turns deadly after she and her boyfriend encounter a violent biker gang involved in human trafficking.
  • B. Traffik chosen
    Traffik is a 1989 British television miniseries that explores the international heroin trade and inspired the later American film "Traffic."
  • C. Trafic
    Trafic is a 1971 French comedy film by Jacques Tati that satirically follows the misadventures of a bumbling car designer trying to deliver his innovative vehicle to an auto show.
  • D. Traffiume
    Traffiume is a small locality or district that forms part of the municipality of Cannobio in northern Italy.
  • E. El Tráfico
    El Tráfico is the intense Los Angeles derby between LA Galaxy and Los Angeles FC in Major League Soccer, known for its high-scoring matches and passionate fan atmosphere.
  • 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b1d24881909945936cbf00876e completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.