Triple
T17224087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Feenstra |
E418064
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lynette Feenstra
Lynette Feenstra is the wife of American politician and U.S. Representative Randy Feenstra of Iowa.
|
E1426933
|
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: Lynette Feenstra | Statement: [Randy Feenstra, spouse, Lynette Feenstra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynette Feenstra Context triple: [Randy Feenstra, spouse, Lynette Feenstra]
-
A.
Lynette Wittstock
Lynette Wittstock is the mother of Princess Charlene of Monaco and the maternal grandmother of Princess Gabriella of Monaco.
-
B.
Lynette Howell
Lynette Howell is a film producer known for her work on acclaimed independent and studio films, including "The Place Beyond the Pines."
-
C.
Lynnette Armstrong
Lynnette Armstrong is a notable individual recognized for achievements significant enough to be associated with the surname Armstrong.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
- 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: Lynette Feenstra Triple: [Randy Feenstra, spouse, Lynette Feenstra]
Generated description
Lynette Feenstra is the wife of American politician and U.S. Representative Randy Feenstra of Iowa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynette Feenstra Target entity description: Lynette Feenstra is the wife of American politician and U.S. Representative Randy Feenstra of Iowa.
-
A.
Lynette Wittstock
Lynette Wittstock is the mother of Princess Charlene of Monaco and the maternal grandmother of Princess Gabriella of Monaco.
-
B.
Lynette Howell
Lynette Howell is a film producer known for her work on acclaimed independent and studio films, including "The Place Beyond the Pines."
-
C.
Lynnette Armstrong
Lynnette Armstrong is a notable individual recognized for achievements significant enough to be associated with the surname Armstrong.
-
D.
Melinda Rogers
Melinda Rogers is a Canadian business executive and member of the Rogers family, known for her leadership roles within Rogers Communications.
-
E.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddfe3bc8190b22cee4fc0590b74 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087067f6988190bbda7f2a4b1bde28 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a0871146b248190ac91cf010a984e1f |
completed | May 16, 2026, 1:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871a818688190ad69bcf84e33d014 |
completed | May 16, 2026, 1:31 p.m. |
Created at: April 10, 2026, 5:38 a.m.