Triple

T12243658
Position Surface form Disambiguated ID Type / Status
Subject Matt Kenseth E291795 entity
Predicate droveManufacturer P103670 FINISHED
Object Ford E1133 NE FINISHED

How this triple was built (3 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: Ford | Statement: [Matt Kenseth, droveManufacturer, Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ford
Context triple: [Matt Kenseth, droveManufacturer, Ford]
  • A. Ford
    Ford is a town in the Metropolitan Borough of Sefton, Merseyside, England, forming part of the northern suburbs of Liverpool.
  • B. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • C. Ford
    Ford is a small village in the Arun District of West Sussex, England, known for its rural character and nearby railway station.
  • D. Ford Motor Company chosen
    Ford Motor Company is a major American automobile manufacturer, founded by Henry Ford, known for pioneering assembly-line mass production and producing iconic vehicles like the Model T and F-Series trucks.
  • E. General Motors
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: droveManufacturer
Context triple: [Matt Kenseth, droveManufacturer, Ford]
  • A. carManufacturer
    Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
  • B. manufacturerType
    Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
  • C. vehicleManufacturerHosted
    Indicates that a vehicle manufacturer organized, sponsored, or served as the host for a particular event or activity.
  • D. fieldedCarBrand
    Indicates that a particular car brand has been entered, deployed, or represented (e.g., in a race, event, or lineup) by some agent or organization.
  • E. engineBrand
    Indicates that one entity is the brand or manufacturer of the engine used by another entity.
  • F. None of above. chosen

Provenance (5 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d38ee10819093ed41d2954bf4ef completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e4deb308190aa1a99a78d46b461 completed May 2, 2026, 3:54 p.m.
PD Predicate disambiguation batch_69d91c46dcd88190a263db30804bff36 completed April 10, 2026, 3:50 p.m.
PDg Predicate description generation batch_69d91d3654208190a2e0487dfa1d54da completed April 10, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:51 p.m.