Triple
T4501864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Fleming |
E101238
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Todd Jenkins
Todd Jenkins is the son of American figure skating legend and Olympic gold medalist Peggy Fleming.
|
E481811
|
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 Jenkins | Statement: [Peggy Fleming, hasChild, Todd Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Jenkins Context triple: [Peggy Fleming, hasChild, Todd Jenkins]
-
A.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
B.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
C.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
D.
Greg Jenkins
Greg Jenkins is an American dermatologist best known as the husband of Olympic figure skating champion Peggy Fleming.
-
E.
Todd Rittmann
Todd Rittmann is an American guitarist and songwriter best known for his work in experimental and noise rock bands such as U.S. Maple and Dead Rider.
- 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 Jenkins Triple: [Peggy Fleming, hasChild, Todd Jenkins]
Generated description
Todd Jenkins is the son of American figure skating legend and Olympic gold medalist Peggy Fleming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Todd Jenkins Target entity description: Todd Jenkins is the son of American figure skating legend and Olympic gold medalist Peggy Fleming.
-
A.
Jeff Jenkins
Jeff Jenkins is a television producer best known for his work on reality TV series, particularly within the Kardashian franchise.
-
B.
Michael Jenkins
Michael Jenkins is an Australian screenwriter and director known for his work in film and television, including influential Australian dramas.
-
C.
Michael Jenkins
Michael Jenkins is a theatre producer best known for his work on the hit musical comedy "Spamalot."
-
D.
Greg Jenkins
Greg Jenkins is an American dermatologist best known as the husband of Olympic figure skating champion Peggy Fleming.
-
E.
Todd Rittmann
Todd Rittmann is an American guitarist and songwriter best known for his work in experimental and noise rock bands such as U.S. Maple and Dead Rider.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56f9dca08190b926f40e201a3e97 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be777f287c81909f700e22163ccc24 |
completed | March 21, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_69be7b680ec08190957346de5c5acfa9 |
completed | March 21, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7bbeda508190ae27ab12c6748ed7 |
completed | March 21, 2026, 11:06 a.m. |
Created at: March 20, 2026, 1 p.m.