Triple
T16099778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wexler |
E390584
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Leslie Wexler
Leslie Wexler is a person notable enough to be recognized as a bearer of the surname Wexler, though specific widely known biographical details are not clearly established.
|
E1249214
|
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: Leslie Wexler | Statement: [Wexler, hasNotableBearer, Leslie Wexler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Wexler Context triple: [Wexler, hasNotableBearer, Leslie Wexler]
-
A.
Leslie Greif
Leslie Greif is an American television producer and director best known for creating and producing popular series and miniseries across action, drama, and true-crime genres.
-
B.
Leslie Cohen
Leslie Cohen is known as the former spouse of American television and film actor Jere Burns.
-
C.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
D.
Beth Wexler
Beth Wexler is a character in the film "Volunteers," a 1985 comedy about Peace Corps volunteers in Thailand.
-
E.
Bennett Yellin
Bennett Yellin is an American screenwriter best known for co-writing the hit comedy film "Dumb and Dumber."
- 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: Leslie Wexler Triple: [Wexler, hasNotableBearer, Leslie Wexler]
Generated description
Leslie Wexler is a person notable enough to be recognized as a bearer of the surname Wexler, though specific widely known biographical details are not clearly established.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leslie Wexler Target entity description: Leslie Wexler is a person notable enough to be recognized as a bearer of the surname Wexler, though specific widely known biographical details are not clearly established.
-
A.
Leslie Greif
Leslie Greif is an American television producer and director best known for creating and producing popular series and miniseries across action, drama, and true-crime genres.
-
B.
Leslie Cohen
Leslie Cohen is known as the former spouse of American television and film actor Jere Burns.
-
C.
Michele Lerner
Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
-
D.
Beth Wexler
Beth Wexler is a character in the film "Volunteers," a 1985 comedy about Peace Corps volunteers in Thailand.
-
E.
Bennett Yellin
Bennett Yellin is an American screenwriter best known for co-writing the hit comedy film "Dumb and Dumber."
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6756948190a7f5ecb375e59701 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ec5c99c819082f154267c246e92 |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a012fa27c9c819097631c3d4d828ccf |
completed | May 11, 2026, 1:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01303769c081909ea5dc6af7f324d7 |
completed | May 11, 2026, 1:26 a.m. |
Created at: April 10, 2026, 5 a.m.