Triple

T2187483
Position Surface form Disambiguated ID Type / Status
Subject I Love Lucy E49183 entity
Predicate notableEpisode P2757 FINISHED
Object Job Switching
"Job Switching" is a classic 1952 episode of the sitcom *I Love Lucy* best known for its iconic chocolate factory conveyor-belt scene satirizing gender roles and workplace competence.
 E242221 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: Job Switching | Statement: [I Love Lucy, notableEpisode, Job Switching]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Job Switching
Context triple: [I Love Lucy, notableEpisode, Job Switching]
  • A. Jobs
    Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
  • B. Transition
    Transition is a music album by the band The First Edition, known for blending rock and country influences during their late-1960s/early-1970s output.
  • C. 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.
  • D. Vueltabajo
    Vueltabajo is a renowned tobacco-growing region in western Cuba, famous for producing some of the world’s finest cigar tobacco.
  • E. Changes
    "Changes" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • 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: Job Switching
Triple: [I Love Lucy, notableEpisode, Job Switching]
Generated description
"Job Switching" is a classic 1952 episode of the sitcom *I Love Lucy* best known for its iconic chocolate factory conveyor-belt scene satirizing gender roles and workplace competence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Job Switching
Target entity description: "Job Switching" is a classic 1952 episode of the sitcom *I Love Lucy* best known for its iconic chocolate factory conveyor-belt scene satirizing gender roles and workplace competence.
  • A. Jobs
    Jobs is the surname of Steve Jobs, the influential co-founder and longtime leader of Apple Inc.
  • B. Transition
    Transition is a music album by the band The First Edition, known for blending rock and country influences during their late-1960s/early-1970s output.
  • C. 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.
  • D. Vueltabajo
    Vueltabajo is a renowned tobacco-growing region in western Cuba, famous for producing some of the world’s finest cigar tobacco.
  • E. Changes
    "Changes" is a track featured on the hip hop album *Universal Mind Control* by Common.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf130ef081908adb4a22f056be5b completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dada268819082ddc4acd58e19f3 completed March 9, 2026, 5:42 a.m.
NEDg Description generation batch_69ae5e5fe37c8190bcf73200d32f5faa completed March 9, 2026, 5:45 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ed1e3208190b46d5e8361c2a5f6 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.