Triple

T1914064
Position Surface form Disambiguated ID Type / Status
Subject Kyle Vogt E38175 entity
Predicate hasEmployerAfterAcquisition P33906 FINISHED
Object General Motors E506 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: General Motors | Statement: [Kyle Vogt, hasEmployerAfterAcquisition, General Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Motors
Context triple: [Kyle Vogt, hasEmployerAfterAcquisition, General Motors]
  • A. General Motors chosen
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • B. Ford Motor Company
    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.
  • C. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • D. Chevrolet
    Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
  • E. American Motors Corporation
    American Motors Corporation was a major American automobile manufacturer best known for producing compact cars and later spawning the AM General division that built military and utility vehicles.
  • 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: hasEmployerAfterAcquisition
Context triple: [Kyle Vogt, hasEmployerAfterAcquisition, General Motors]
  • A. laterAcquiredBy
    Indicates that one entity was acquired by another entity at a later point in time, after some prior state or ownership.
  • B. parentCompanyAfterMerger
    Indicates that one company is the resulting parent company of another following a merger.
  • C. acquiredCompany
    Indicates that one entity has purchased and taken ownership or control of another company.
  • D. succeededByCompanyName
    Indicates that one company is followed or replaced by another company as its successor.
  • E. formerEmployer
    Indicates that one entity previously employed the other but no longer does so.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fce685081909038245bc0c1b4a6 completed March 9, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69abafeba3d88190afcce67483d8625b completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb34c4a64819096e12b152b84c334 completed March 7, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:35 p.m.