Triple

T364447
Position Surface form Disambiguated ID Type / Status
Subject Jobs E7927 entity
Predicate hasSpellingVariant P457 FINISHED
Object Jobes
Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
E46386 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: Jobes | Statement: [Jobs, hasSpellingVariant, Jobes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jobes
Context triple: [Jobs, hasSpellingVariant, Jobes]
  • A. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • B. Jacobs
    Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
  • C. Jebus
    Jebus is the ancient Canaanite name for the city later known as Jerusalem.
  • D. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • E. Boss
    Boss is an autonomous robotic vehicle developed by Carnegie Mellon University that famously won the 2007 DARPA Urban Challenge for self-driving cars.
  • 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: Jobes
Triple: [Jobs, hasSpellingVariant, Jobes]
Generated description
Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jobes
Target entity description: Jobes is an alternative spelling variant of the surname Jobs, most notably associated by similarity with Apple co-founder Steve Jobs.
  • A. The Boss
    The Boss is the famous nickname of American rock musician Bruce Springsteen, renowned for his powerful live performances and working-class anthems.
  • B. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • C. Jacobs
    Jacobs is a surname most notably associated with Harriet Jacobs, the African-American writer and abolitionist who authored the influential slave narrative "Incidents in the Life of a Slave Girl."
  • D. Jebus
    Jebus is the ancient Canaanite name for the city later known as Jerusalem.
  • E. Tabio
    Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebe6c1b4819083335e880c205ed6 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3e8668b848190b68d19819ac134df completed March 1, 2026, 7:19 a.m.
NEDg Description generation batch_69a3ea5beecc8190b128db693db39e95 completed March 1, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69a3eba438548190912d5a4a9c0e6528 completed March 1, 2026, 7:32 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.