Triple

T21954241
Position Surface form Disambiguated ID Type / Status
Subject Jeep Swenson E542143 entity
Predicate spouse P13 FINISHED
Object Kathy Swenson
Kathy Swenson is known as the wife of the late American professional wrestler, actor, and bodybuilder Jeep Swenson.
 E1510889 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: Kathy Swenson | Statement: [Jeep Swenson, spouse, Kathy Swenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kathy Swenson
Context triple: [Jeep Swenson, spouse, Kathy Swenson]
  • A. Kathy Swanson
    Kathy Swanson is known as the former wife of American stand-up comedian and actor Andrew Dice Clay.
  • B. Connie Snyder
    Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
  • C. Ann Kirkpatrick
    Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
  • D. Tina Smith
    Tina Smith is a United States Senator from Minnesota and a member of the Democratic Party.
  • E. Julie Christensen
    Julie Christensen is a fictional high school student and the central protagonist in the horror film "Final Destination 3," known for foreseeing a deadly roller coaster accident and trying to save her friends.
  • 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: Kathy Swenson
Triple: [Jeep Swenson, spouse, Kathy Swenson]
Generated description
Kathy Swenson is known as the wife of the late American professional wrestler, actor, and bodybuilder Jeep Swenson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kathy Swenson
Target entity description: Kathy Swenson is known as the wife of the late American professional wrestler, actor, and bodybuilder Jeep Swenson.
  • A. Kathy Swanson
    Kathy Swanson is known as the former wife of American stand-up comedian and actor Andrew Dice Clay.
  • B. Connie Snyder
    Connie Snyder is an American philanthropist and co-founder of the Ballmer Group, known for her work supporting children’s welfare, education, and social services.
  • C. Ann Kirkpatrick
    Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
  • D. Tina Smith
    Tina Smith is a United States Senator from Minnesota and a member of the Democratic Party.
  • E. Julie Christensen
    Julie Christensen is a fictional high school student and the central protagonist in the horror film "Final Destination 3," known for foreseeing a deadly roller coaster accident and trying to save her friends.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243dfb4081909bc7a722843ffea7 completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a670672b481908b92e15245212e64 completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67c29848819080860f13b4c9697b completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a686a0f208190977890119ffcff79 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 7:59 p.m.