Triple
T5235188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wise |
E118203
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Jennifer Wise
Jennifer Wise is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Wise.
|
E505388
|
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: Jennifer Wise | Statement: [Wise, hasNotableBearer, Jennifer Wise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Wise Context triple: [Wise, hasNotableBearer, Jennifer Wise]
-
A.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
B.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
-
C.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
D.
Deborah Raffin
Deborah Raffin was an American actress and audiobook publisher known for her film and television roles in the 1970s and 1980s and for co-founding a successful audio book company.
-
E.
Victoria Strouse
Victoria Strouse is an American screenwriter best known for co-writing Pixar's animated film "Finding Dory."
- 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: Jennifer Wise Triple: [Wise, hasNotableBearer, Jennifer Wise]
Generated description
Jennifer Wise is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Wise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jennifer Wise Target entity description: Jennifer Wise is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Wise.
-
A.
Virginia Weidler
Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
-
B.
Rebecca Feely
Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
-
C.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
-
D.
Deborah Raffin
Deborah Raffin was an American actress and audiobook publisher known for her film and television roles in the 1970s and 1980s and for co-founding a successful audio book company.
-
E.
Victoria Strouse
Victoria Strouse is an American screenwriter best known for co-writing Pixar's animated film "Finding Dory."
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b064b6881909f5746f55aa422c6 |
completed | March 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef81cca948190ab00302787367f43 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69befa15850481908fd414672620e0a3 |
completed | March 21, 2026, 8:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69befa65a42c81908b8fe5661e9567cb |
completed | March 21, 2026, 8:07 p.m. |
Created at: March 20, 2026, 1:49 p.m.