Triple

T21331900
Position Surface form Disambiguated ID Type / Status
Subject Robert E. Petersen E525924 entity
Predicate founded P104 FINISHED
Object Motor Trend magazine 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: Motor Trend magazine | Statement: [Robert E. Petersen, founded, Motor Trend magazine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motor Trend magazine
Context triple: [Robert E. Petersen, founded, Motor Trend magazine]
  • A. Motor Trend chosen
    Motor Trend is an American automotive magazine and media brand known for its influential car reviews, comparison tests, and annual Car of the Year awards.
  • B. What Car? magazine
    What Car? magazine is a long-running British automotive publication known for its in-depth car reviews, consumer advice, and influential annual awards.
  • C. Car Magazine
    Car Magazine is a long-running British automotive publication known for its in-depth car reviews, industry news, and influential motoring journalism.
  • D. Road & Track
    Road & Track is an American automotive enthusiast magazine known for its in-depth coverage of performance cars, motorsports, and automotive culture.
  • E. Hearst Autos
    Hearst Autos is the automotive-focused division of Hearst Communications that produces car-related media, reviews, and digital content for consumers and industry professionals.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab54706081909445f9cd91a43788 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.