Triple
T16317862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Top of the Heap |
E396217
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Leslie Bega
Leslie Bega is an American actress best known for her roles on television series such as "Head of the Class" and "The Sopranos."
|
E1230507
|
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 Bega | Statement: [Top of the Heap, starring, Leslie Bega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Bega Context triple: [Top of the Heap, starring, Leslie Bega]
-
A.
Daniela Ruah
Daniela Ruah is a Portuguese-American actress best known for playing Special Agent Kensi Blye on the television series "NCIS: Los Angeles."
-
B.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
C.
Lara Flynn Boyle
Lara Flynn Boyle is an American actress best known for her role as Donna Hayward in the television series "Twin Peaks" and for her work in films and other TV dramas throughout the 1990s and 2000s.
-
D.
Rebecca Tilly
Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
-
E.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
- 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 Bega Triple: [Top of the Heap, starring, Leslie Bega]
Generated description
Leslie Bega is an American actress best known for her roles on television series such as "Head of the Class" and "The Sopranos."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leslie Bega Target entity description: Leslie Bega is an American actress best known for her roles on television series such as "Head of the Class" and "The Sopranos."
-
A.
Daniela Ruah
Daniela Ruah is a Portuguese-American actress best known for playing Special Agent Kensi Blye on the television series "NCIS: Los Angeles."
-
B.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
C.
Lara Flynn Boyle
Lara Flynn Boyle is an American actress best known for her role as Donna Hayward in the television series "Twin Peaks" and for her work in films and other TV dramas throughout the 1990s and 2000s.
-
D.
Rebecca Tilly
Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
-
E.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b31b988190bb1fde36dae11bbd |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d27712081908530bbf0d9d47e1f |
completed | May 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a009e1aa6548190b77def9f74d3272a |
completed | May 10, 2026, 3:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009eb06d6481909914286301f9b4db |
completed | May 10, 2026, 3:05 p.m. |
Created at: April 10, 2026, 5:06 a.m.