Triple

T3194734
Position Surface form Disambiguated ID Type / Status
Subject Paula Patton E66906 entity
Predicate workedOn P3 FINISHED
Object Traffik E335050 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: Traffik | Statement: [Paula Patton, workedOn, Traffik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Traffik
Context triple: [Paula Patton, workedOn, Traffik]
  • A. Traffik chosen
    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. 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.
  • C. Freeway
    Freeway is an American rapper from Philadelphia known for his gritty street narratives and work with Roc-A-Fella Records and State Property.
  • D. Roadblock
    Roadblock is a heavy weapons specialist and prominent member of the G.I. Joe team, portrayed by Dwayne Johnson in the film "G.I. Joe: Retaliation."
  • E. Taxi
    Taxi is a critically acclaimed American sitcom that aired from 1978 to 1983, following the lives of New York City cab drivers and their dispatcher, and is celebrated for its ensemble cast and blend of comedy and pathos.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada714dbcc8190a7ad21b3c957f151 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262181a4c8190b31bbb6bd7bef436 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.