Triple

T268577
Position Surface form Disambiguated ID Type / Status
Subject Christine Teigen E5573 entity
Predicate hasFather P1908 FINISHED
Object Ron Teigen Sr.
Ron Teigen Sr. is the father of American model and television personality Chrissy (Christine) Teigen.
 E35163 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: Ron Teigen Sr. | Statement: [Christine Teigen, hasFather, Ron Teigen Sr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ron Teigen Sr.
Context triple: [Christine Teigen, hasFather, Ron Teigen Sr.]
  • A. Charles Begole
    Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
  • B. Joe Swanson
    Joe Swanson is a paraplegic, tough but good-hearted police officer and one of Peter Griffin’s closest friends in the animated sitcom "Family Guy."
  • C. Jud Fry
    Jud Fry is the brooding, antagonistic farmhand and primary villain in the classic American musical "Oklahoma!".
  • D. Peder Sather
    Peder Sather was a 19th-century Norwegian-born American banker and philanthropist known for his significant financial support of the University of California, Berkeley.
  • E. John Lund
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • 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: Ron Teigen Sr.
Triple: [Christine Teigen, hasFather, Ron Teigen Sr.]
Generated description
Ron Teigen Sr. is the father of American model and television personality Chrissy (Christine) Teigen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ron Teigen Sr.
Target entity description: Ron Teigen Sr. is the father of American model and television personality Chrissy (Christine) Teigen.
  • A. Charles Begole
    Charles Begole was an American mountaineer best known as one of the first climbers to reach the summit of Mount Whitney in the 19th century.
  • B. Joe Swanson
    Joe Swanson is a paraplegic, tough but good-hearted police officer and one of Peter Griffin’s closest friends in the animated sitcom "Family Guy."
  • C. Jud Fry
    Jud Fry is the brooding, antagonistic farmhand and primary villain in the classic American musical "Oklahoma!".
  • D. Peder Sather
    Peder Sather was a 19th-century Norwegian-born American banker and philanthropist known for his significant financial support of the University of California, Berkeley.
  • E. John Lund
    John Lund was an American film actor active in the 1940s and 1950s, known for his leading and supporting roles in Hollywood comedies and dramas.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dae4a0c8190a66cf6ed3889851c completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b9082b8819099cd5e7fe3c7335f completed March 1, 2026, 12:42 a.m.
NEDg Description generation batch_69a38e18d48881908603e803b502680c completed March 1, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69a38eb171dc8190ba4d0f5d377df998 completed March 1, 2026, 12:56 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.