Triple

T5247848
Position Surface form Disambiguated ID Type / Status
Subject Discovery, Inc. E118507 entity
Predicate ownedChannel P61714 FINISHED
Object MotorTrend 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: MotorTrend | Statement: [Discovery, Inc., ownedChannel, MotorTrend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MotorTrend
Context triple: [Discovery, Inc., ownedChannel, MotorTrend]
  • 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. CAR
    CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
  • C. CAR
    CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
  • D. CAR
    CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
  • E. CAR
    CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd847049648190ab24693e92f0dad1 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef836d158819092cdd22e0dbc9dae completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:50 p.m.