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.