Triple

T20572933
Position Surface form Disambiguated ID Type / Status
Subject DISCA E505146 entity
Predicate issuerOperatesNetwork P5033 FINISHED
Object MotorTrend Network 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: MotorTrend Network | Statement: [DISCA, issuerOperatesNetwork, MotorTrend Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MotorTrend Network
Context triple: [DISCA, issuerOperatesNetwork, MotorTrend Network]
  • 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. Autoblog
    Autoblog is an automotive news and review website known for its coverage of car industry news, vehicle reviews, and consumer car-buying information.
  • C. Jalopnik
    Jalopnik is an automotive-focused news and culture website known for its car reviews, industry commentary, and enthusiast-oriented coverage.
  • D. Edmunds
    Edmunds is a variant spelling of the name Edmonds, commonly used as a surname.
  • E. Cars.TV
    Cars.TV is a television network and media outlet focused on automotive-related programming, including car reviews, industry news, and enthusiast content.
  • 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a906f0508190ac698233738f4452 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.