Triple

T7978316
Position Surface form Disambiguated ID Type / Status
Subject Jackie Sherrill E185502 entity
Predicate familyName P18 FINISHED
Object Sherrill
Sherrill is a surname most prominently associated with Jackie Sherrill, a well-known American college football coach.
 E703236 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: Sherrill | Statement: [Jackie Sherrill, familyName, Sherrill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sherrill
Context triple: [Jackie Sherrill, familyName, Sherrill]
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Alden
    Alden is the given name of American actor Alden Ehrenreich, known for roles in films such as "Hail, Caesar!" and "Solo: A Star Wars Story."
  • C. Leahey
    Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
  • D. Keene
    Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
  • E. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • 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: Sherrill
Triple: [Jackie Sherrill, familyName, Sherrill]
Generated description
Sherrill is a surname most prominently associated with Jackie Sherrill, a well-known American college football coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sherrill
Target entity description: Sherrill is a surname most prominently associated with Jackie Sherrill, a well-known American college football coach.
  • A. Tilghman
    Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
  • B. Alden
    Alden is the given name of American actor Alden Ehrenreich, known for roles in films such as "Hail, Caesar!" and "Solo: A Star Wars Story."
  • C. Leahey
    Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
  • D. Keene
    Keene is a small unincorporated community in Kern County, California, historically associated with the United Farm Workers and labor leader César Chávez.
  • E. Keene
    Keene is a small community in Ontario, Canada, known for its rural character and proximity to Rice Lake.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0d3c724819087df03cea2ed998f completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.