Triple

T17367717
Position Surface form Disambiguated ID Type / Status
Subject 2015 Motor Trend Car of the Year E422226 entity
Predicate publisher P29 FINISHED
Object TEN: The Enthusiast Network E388731 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: TEN: The Enthusiast Network | Statement: [2015 Motor Trend Car of the Year, publisher, TEN: The Enthusiast Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TEN: The Enthusiast Network
Context triple: [2015 Motor Trend Car of the Year, publisher, TEN: The Enthusiast Network]
  • A. TEN: The Enthusiast Network chosen
    TEN: The Enthusiast Network is a media company specializing in automotive and enthusiast content across magazines, digital platforms, and events.
  • B. The 101 Network
    The 101 Network was a DirecTV-owned television channel known for airing reruns and exclusive broadcasts of popular series, including shows like "Friday Night Lights."
  • C. TNET
    TNET is the stock ticker symbol for Telenet Group, a Belgian telecommunications and entertainment services provider.
  • D. Ten’edn
    Ten’edn is an Aslian language spoken by an indigenous community in the Malay Peninsula, belonging to the broader Austroasiatic language family.
  • E. TENEX
    TENEX is a Russian nuclear fuel cycle company that specializes in uranium enrichment services and nuclear fuel supply for power plants worldwide.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.