Triple

T12683610
Position Surface form Disambiguated ID Type / Status
Subject I Love Sarah Jane E303008 entity
Predicate hasCharacter P2308 FINISHED
Object Jimbo
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
E997247 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: Jimbo | Statement: [I Love Sarah Jane, hasCharacter, Jimbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimbo
Context triple: [I Love Sarah Jane, hasCharacter, Jimbo]
  • A. Jimbo
    Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
  • B. Jimmie
    Jimmie is a masculine given name, often a diminutive of James, used by various notable figures including musicians and athletes.
  • C. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • D. Sunny Jim
    Sunny Jim was the cheerful nickname of James S. Sherman, the 27th vice president of the United States who served under President William Howard Taft.
  • E. Sunny Jim
    Sunny Jim was the popular nickname of James Rolph, a prominent early 20th-century California politician who served as mayor of San Francisco and later governor of California.
  • 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: Jimbo
Triple: [I Love Sarah Jane, hasCharacter, Jimbo]
Generated description
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jimbo
Target entity description: Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
  • A. Jimbo
    Jimbo is an American college football coach best known for leading Florida State University to a national championship and later coaching at Texas A&M.
  • B. Jimmie
    Jimmie is a masculine given name, often a diminutive of James, used by various notable figures including musicians and athletes.
  • C. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • D. Sunny Jim
    Sunny Jim was the cheerful nickname of James S. Sherman, the 27th vice president of the United States who served under President William Howard Taft.
  • E. Sunny Jim
    Sunny Jim was the popular nickname of James Rolph, a prominent early 20th-century California politician who served as mayor of San Francisco and later governor of California.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f67323a724819092425cdb3a070b96 completed May 2, 2026, 9:56 p.m.
Created at: April 9, 2026, 5:21 p.m.