Triple

T14053647
Position Surface form Disambiguated ID Type / Status
Subject I Dream of Jeannie E338155 entity
Predicate openingTheme P2759 FINISHED
Object "Jeannie"
"Jeannie" is the whimsical, iconic theme music that opens the classic 1960s fantasy sitcom *I Dream of Jeannie*.
 E1080600 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: "Jeannie" | Statement: [I Dream of Jeannie, openingTheme, "Jeannie"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: "Jeannie"
Context triple: [I Dream of Jeannie, openingTheme, "Jeannie"]
  • A. Jeanie
    Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
  • B. Janeane
    Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
  • C. Janey
    Janey is a feminine given name, often used as a diminutive or variant of names like Jane or Janie.
  • D. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • E. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • 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: "Jeannie"
Triple: [I Dream of Jeannie, openingTheme, "Jeannie"]
Generated description
"Jeannie" is the whimsical, iconic theme music that opens the classic 1960s fantasy sitcom *I Dream of Jeannie*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: "Jeannie"
Target entity description: "Jeannie" is the whimsical, iconic theme music that opens the classic 1960s fantasy sitcom *I Dream of Jeannie*.
  • A. Jeanie
    Jeanie is a female given name, often used as a diminutive of Jean or Jeanne.
  • B. Janeane
    Janeane is a female given name most notably associated with American comedian and actress Janeane Garofalo.
  • C. Janey
    Janey is a feminine given name, often used as a diminutive or variant of names like Jane or Janie.
  • D. Janet
    Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
  • E. Jeni
    Jeni is a common shortened form or nickname for the given name Jennifer.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8bc54c8190a12f0fc056568538 completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09b7d148190ad9a146121be01f8 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd4cc2f4c81909bd30cda58fc2393 completed May 7, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_69fcd5c128c0819081edf72e25c6bc98 completed May 7, 2026, 6:11 p.m.
Created at: April 9, 2026, 10:20 p.m.