Triple

T5093245
Position Surface form Disambiguated ID Type / Status
Subject Consumer Reports E114804 entity
Predicate name P16 FINISHED
Object Consumer Reports E114804 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: Consumer Reports | Statement: [Consumer Reports, name, Consumer Reports]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Consumer Reports
Context triple: [Consumer Reports, name, Consumer Reports]
  • A. consumer reports chosen
    Consumer Reports is an independent, nonprofit organization known for testing and reviewing products and services to help consumers make informed purchasing decisions.
  • B. Kelley Blue Book
    Kelley Blue Book is a widely used automotive valuation and research company known for providing trusted pricing information and reviews for new and used vehicles.
  • 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. Motor Trend
    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.
  • E. Wirecutter
    Wirecutter is a product review and recommendation website known for its rigorously researched buying guides across a wide range of consumer goods.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb14f097081908d835190f13796dd completed March 21, 2026, 2:55 p.m.
Created at: March 20, 2026, 1:40 p.m.