Triple
T20739163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Kay Ash |
E509791
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ben Rogers
Ben Rogers was the husband of Mary Kay Ash, the famed American businesswoman and founder of Mary Kay Cosmetics.
|
E1448126
|
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: Ben Rogers | Statement: [Mary Kay Ash, spouse, Ben Rogers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Rogers Context triple: [Mary Kay Ash, spouse, Ben Rogers]
-
A.
Ben Rogers
Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
-
B.
Paul Rogers
Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
-
C.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
D.
Jeremy Roberts
Jeremy Roberts is an American character actor known for supporting roles in films and television, including a notable appearance in the science-fiction thriller "The Thirteenth Floor."
-
E.
Mark Roberts
Mark Roberts is an American television writer and producer best known for creating the CBS sitcom "Mike & Molly."
- 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: Ben Rogers Triple: [Mary Kay Ash, spouse, Ben Rogers]
Generated description
Ben Rogers was the husband of Mary Kay Ash, the famed American businesswoman and founder of Mary Kay Cosmetics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ben Rogers Target entity description: Ben Rogers was the husband of Mary Kay Ash, the famed American businesswoman and founder of Mary Kay Cosmetics.
-
A.
Ben Rogers
Ben Rogers is a lively, boastful boy in Mark Twain’s "The Adventures of Tom Sawyer," known for being one of Tom’s close companions in their childhood adventures.
-
B.
Paul Rogers
Paul Rogers is an American film editor best known for his Academy Award–winning work on the multiverse film "Everything Everywhere All at Once."
-
C.
Graham Rogers
Graham Rogers is an American actor known for his roles in television series such as "The Kominsky Method," "Quantico," and "Atypical."
-
D.
Jeremy Roberts
Jeremy Roberts is an American character actor known for supporting roles in films and television, including a notable appearance in the science-fiction thriller "The Thirteenth Floor."
-
E.
Mark Roberts
Mark Roberts is an American television writer and producer best known for creating the CBS sitcom "Mike & Molly."
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20d9d4c8190a2fd87f8a33c313d |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e83a28548190b87010bfde6626eb |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e8df60c88190803590abd75b3e43 |
completed | May 16, 2026, 9:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e95f05088190b5934f067c5dd7b7 |
completed | May 16, 2026, 10:02 p.m. |
Created at: April 16, 2026, 12:32 p.m.