Triple

T4232313
Position Surface form Disambiguated ID Type / Status
Subject 2018 Motor Trend Car of the Year E94607 entity
Predicate presentedBy P83 FINISHED
Object Motor Trend E91043 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: Motor Trend | Statement: [2018 Motor Trend Car of the Year, presentedBy, Motor Trend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motor Trend
Context triple: [2018 Motor Trend Car of the Year, presentedBy, Motor Trend]
  • 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. Road & Track
    Road & Track is an American automotive enthusiast magazine known for its in-depth coverage of performance cars, motorsports, and automotive culture.
  • C. 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.
  • D. Autoblog
    Autoblog is an automotive news and review website known for its coverage of car industry news, vehicle reviews, and consumer car-buying information.
  • E. Car and Driver
    Car and Driver is a leading American automotive enthusiast magazine and media brand known for its in-depth car reviews, comparison tests, and industry news.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e642aac8190977dd101e27afcbb completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c70cfa6c819096992a9ea7e97801 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:05 p.m.