Triple

T459383
Position Surface form Disambiguated ID Type / Status
Subject The HP Way: How Bill Hewlett and I Built Our Company E7302 entity
Predicate hasCompanyCaseStudy P2398 FINISHED
Object Hewlett-Packard E7429 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: Hewlett-Packard | Statement: [The HP Way: How Bill Hewlett and I Built Our Company, hasCompanyCaseStudy, Hewlett-Packard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hewlett-Packard
Context triple: [The HP Way: How Bill Hewlett and I Built Our Company, hasCompanyCaseStudy, Hewlett-Packard]
  • A. Hewlett-Packard chosen
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • B. Compaq
    Compaq was a major American computer company best known for its popular line of personal computers and for being one of the largest PC manufacturers before its acquisition by Hewlett-Packard.
  • C. IBM
    IBM is a multinational technology and consulting company known for its pioneering work in computer hardware, software, and enterprise services.
  • D. Dell
    Dell is a major American technology company best known for designing, manufacturing, and selling personal computers, servers, and related IT products and services worldwide.
  • E. Micros Systems
    Micros Systems was a leading provider of point-of-sale and hospitality management software and hardware solutions for restaurants, hotels, and retail businesses.
  • 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: hasCompanyCaseStudy
Context triple: [The HP Way: How Bill Hewlett and I Built Our Company, hasCompanyCaseStudy, Hewlett-Packard]
  • A. hasCaseStudy chosen
    Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
  • B. hasExample
    Indicates that one entity serves as an instance, illustration, or concrete example of another entity.
  • C. hasCase
    Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by another entity.
  • D. hasNumberOfCasesApprox
    Indicates that an entity is associated with an approximate (not exact) count of cases.
  • E. hasResearchServices
    Indicates that one entity provides or offers research-related services to another entity.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa4a6208190a8243a0e14f84f52 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a46c5a949081908e05f0b61795004f completed March 1, 2026, 4:42 p.m.
PD Predicate disambiguation batch_69a2ede75b6c81908350103d21f22a03 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.