Triple

T1738406
Position Surface form Disambiguated ID Type / Status
Subject Tara Lipinski E37971 entity
Predicate spouse P13 FINISHED
Object Todd Kapostasy
Todd Kapostasy is an American sports television producer and director known for his work on feature stories for networks like ESPN and Fox Sports.
 E193427 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: Todd Kapostasy | Statement: [Tara Lipinski, spouse, Todd Kapostasy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Todd Kapostasy
Context triple: [Tara Lipinski, spouse, Todd Kapostasy]
  • A. Mike Konopacki
    Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
  • B. Ryan Poles
    Ryan Poles is an American football executive who serves as the general manager responsible for overseeing roster construction and football operations for the NFL’s Chicago Bears.
  • C. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • D. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • E. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • 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: Todd Kapostasy
Triple: [Tara Lipinski, spouse, Todd Kapostasy]
Generated description
Todd Kapostasy is an American sports television producer and director known for his work on feature stories for networks like ESPN and Fox Sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Todd Kapostasy
Target entity description: Todd Kapostasy is an American sports television producer and director known for his work on feature stories for networks like ESPN and Fox Sports.
  • A. Mike Konopacki
    Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
  • B. Ryan Poles
    Ryan Poles is an American football executive who serves as the general manager responsible for overseeing roster construction and football operations for the NFL’s Chicago Bears.
  • C. Sean Kilpatrick
    Sean Kilpatrick is an American professional basketball player known for his scoring ability as a guard in the NBA and overseas leagues.
  • D. Andrew Goczkowski
    Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
  • E. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c35aec8190b5c19ace5524173f completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b03303c8190a301dca327bf9f47 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957e9a6c81909d52bf2def797526 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b6c03881909f278594e800c0f5 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.