Triple

T16568975
Position Surface form Disambiguated ID Type / Status
Subject Alfonso Arau E402533 entity
Predicate notableWork P4 FINISHED
Object Used Cars E409583 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: Used Cars | Statement: [Alfonso Arau, notableWork, Used Cars]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Used Cars
Context triple: [Alfonso Arau, notableWork, Used Cars]
  • A. Used Cars chosen
    Used Cars is a 1980 American satirical comedy film starring Kurt Russell as a fast-talking, unscrupulous car salesman embroiled in a rivalry between competing dealerships.
  • B. Cars
    Cars is a 2006 Pixar animated film that follows a hotshot race car who discovers friendship and humility in a forgotten desert town.
  • C. Cars
    "Cars" is a 1979 new wave song by Gary Numan, known for its distinctive synthesizer riff and status as one of the earliest mainstream synth-pop hits.
  • D. CARS
    CARS is the commonly used acronym for the U.S. federal "Cash for Clunkers" vehicle trade-in and rebate program launched in 2009 to stimulate auto sales and improve fuel efficiency.
  • E. Autotrader
    Autotrader is a major online automotive marketplace where consumers can buy, sell, and research new and used vehicles.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35773c00c819091731bebc02a69bb completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ee616a0819089b3cdc1da951735 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:16 a.m.