Triple

T7883335
Position Surface form Disambiguated ID Type / Status
Subject Jimbo Fisher E183036 entity
Predicate nickname P55 FINISHED
Object 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.
E696253 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: [Jimbo Fisher, nickname, Jimbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimbo
Context triple: [Jimbo Fisher, nickname, Jimbo]
  • A. Jimmie
    Jimmie is a masculine given name, often a diminutive of James, used by various notable figures including musicians and athletes.
  • B. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • C. 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.
  • D. 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.
  • E. Jankom Pog
    Jankom Pog is a Tellarite engineer and one of the young alien protagonists in the animated series *Star Trek: Prodigy*, known for his mechanical skills, argumentative nature, and comic relief.
  • 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: [Jimbo Fisher, nickname, Jimbo]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jimbo
Target entity description: 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.
  • A. Jimmie
    Jimmie is a masculine given name, often a diminutive of James, used by various notable figures including musicians and athletes.
  • B. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • C. 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.
  • D. 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.
  • E. Jankom Pog
    Jankom Pog is a Tellarite engineer and one of the young alien protagonists in the animated series *Star Trek: Prodigy*, known for his mechanical skills, argumentative nature, and comic relief.
  • 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_69ca828af6e48190a06ee7010d8f0e64 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39d36574819092d70e24c37952d7 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b9286c881909ec01cb899e71d42 completed March 31, 2026, 5:28 a.m.
NEDg Description generation batch_69cb5df0287881908bce1a4449e9f252 completed March 31, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_69cb769944d08190ba8c2f5fe76e037b completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 4:58 p.m.