Triple

T16023839
Position Surface form Disambiguated ID Type / Status
Subject MAU E388667 entity
Predicate vendorAssociation P2830 FINISHED
Object IBM E1102 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: IBM | Statement: [MAU, vendorAssociation, IBM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IBM
Context triple: [MAU, vendorAssociation, IBM]
  • A. IBM chosen
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • B. IBM AT
    The IBM AT (Advanced Technology) is a mid-1980s IBM personal computer that introduced the 80286 processor and became a widely adopted standard for business PCs.
  • C. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • D. Computer Associates International
    Computer Associates International (now known as CA Technologies) was a major American enterprise software company recognized for its broad portfolio of mainframe, security, and IT management solutions.
  • E. Unisys
    Unisys is an American global information technology company known for providing IT services, software, and infrastructure solutions to government and commercial clients.
  • 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: vendorAssociation
Context triple: [MAU, vendorAssociation, IBM]
  • A. organizationAssociatedWith
    Indicates that there is a formal or recognized connection or affiliation between an organization and another entity.
  • B. manufacturerAssociation
    Indicates a relationship where one entity is associated with another in the role of manufacturer, typically responsible for producing or making the associated item.
  • C. brandAssociationType
    Indicates the specific nature of the relationship or association that exists between a brand and another entity (such as a product, organization, or campaign).
  • D. vendorType
    Indicates the classification or category of a vendor based on the type of goods or services they provide.
  • E. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2f7c4c8190b1290ac28aad8cd0 completed May 10, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e1826a4f7c8190aba6d4f1075141b0 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:55 a.m.