Triple

T93235
Position Surface form Disambiguated ID Type / Status
Subject Steve Jobs E1874 entity
Predicate familyName P18 FINISHED
Object Jobs
Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
 E7927 NE FINISHED

How this triple was built (4 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: Jobs | Statement: [Steve Jobs, familyName, Jobs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jobs
Context triple: [Steve Jobs, familyName, Jobs]
  • A. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • B. LinkedIn
    LinkedIn is a professional networking platform and social media service focused on careers, business connections, and job opportunities.
  • C. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • D. Works Progress Administration
    The Works Progress Administration was a New Deal agency that provided millions of jobs during the Great Depression by funding public works and arts projects across the United States.
  • E. Home Office
    The Home Office is a major UK government department responsible for immigration, security, and law and order, including policing and counter-terrorism.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jobs
Triple: [Steve Jobs, familyName, Jobs]
Generated description
Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jobs
Target entity description: Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
  • A. CAREER
    CAREER is a prestigious National Science Foundation program that supports early-career faculty in building a foundation for a lifetime of leadership in research and education.
  • B. LinkedIn
    LinkedIn is a professional networking platform and social media service focused on careers, business connections, and job opportunities.
  • C. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • D. Works Progress Administration
    The Works Progress Administration was a New Deal agency that provided millions of jobs during the Great Depression by funding public works and arts projects across the United States.
  • E. Home Office
    The Home Office is a major UK government department responsible for immigration, security, and law and order, including policing and counter-terrorism.
  • 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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd28e988190bde699647ee5b16b completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26245bf748190828d5cb4624b2a79 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a262bec71481909b251923011ca502 completed Feb. 28, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69a263626b7c8190b53469d93ac604d9 completed Feb. 28, 2026, 3:39 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.