Triple

T136245
Position Surface form Disambiguated ID Type / Status
Subject Mary Barra E2752 entity
Predicate hasEmployer P7 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: [Mary Barra, hasEmployer, General Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Motors
Context triple: [Mary Barra, hasEmployer, 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. Chevrolet
    Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
  • D. Buick
    Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
  • E. Toyota Motor Corporation
    Toyota Motor Corporation is a Japanese multinational automaker renowned for its reliable vehicles, pioneering of lean manufacturing and the Toyota Production System, and global leadership in hybrid technology.
  • 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: hasEmployer
Context triple: [Mary Barra, hasEmployer, General Motors]
  • A. formerEmployer
    Indicates that one entity previously employed the other but no longer does so.
  • B. employer chosen
    Indicates a relationship where one entity hires, pays, and oversees the work of another entity.
  • C. hasMajorEmployer
    Indicates that an entity has a primary or most significant employer with which it is chiefly affiliated for work or occupation.
  • D. employedApproximately
    Indicates that one entity employs another in a manner where the number, duration, or extent of employment is approximate rather than exact.
  • E. workedAs
    Indicates that an entity held a particular job, role, or position, performing work in that capacity.
  • F. None of above.

Provenance (4 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a257a4edf081908c494c8370c76b9a completed Feb. 28, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e1600c81909e421bf423229878 completed Feb. 28, 2026, 3:12 p.m.
PD Predicate disambiguation batch_69a25651b9048190a6277b7fec98c1ea completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.