Triple
T9281713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevy Chase |
E223082
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Suzanne Chase
Suzanne Chase is known as the former wife of American comedian and actor Chevy Chase.
|
E789951
|
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: Suzanne Chase | Statement: [Chevy Chase, spouse, Suzanne Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Chase Context triple: [Chevy Chase, spouse, Suzanne Chase]
-
A.
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
B.
Carol Seaver
Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
-
C.
Suzanne Perrin
Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
-
D.
Lucinda McCullough
Lucinda McCullough was the wife of renowned American bridge engineer Conde McCullough, associated with his personal and family life during his career in Oregon.
-
E.
Patricia Dane
Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
- 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: Suzanne Chase Triple: [Chevy Chase, spouse, Suzanne Chase]
Generated description
Suzanne Chase is known as the former wife of American comedian and actor Chevy Chase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzanne Chase Target entity description: Suzanne Chase is known as the former wife of American comedian and actor Chevy Chase.
-
A.
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
B.
Carol Seaver
Carol Seaver is the intelligent, ambitious, and sometimes neurotic teenage daughter in the family sitcom "Growing Pains."
-
C.
Suzanne Perrin
Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
-
D.
Lucinda McCullough
Lucinda McCullough was the wife of renowned American bridge engineer Conde McCullough, associated with his personal and family life during his career in Oregon.
-
E.
Patricia Dane
Patricia Dane was an American film actress of the 1940s who appeared in several MGM productions and was briefly married to bandleader Tommy Dorsey.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081c2b048190aa6930de3bf2f87f |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b209a5b48190a7e6d983bcda5363 |
completed | April 4, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d0b3548dd881908adadf4a728cec50 |
completed | April 4, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b4083da88190ab996ee53bf5ff16 |
completed | April 4, 2026, 6:47 a.m. |
Created at: March 30, 2026, 7:34 p.m.