Triple
T9452001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Ken |
E227915
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Suzy Nakamura
Suzy Nakamura is an American actress and comedian known for her work in television sitcoms and comedic roles.
|
E828162
|
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: Suzy Nakamura | Statement: [Dr. Ken, starring, Suzy Nakamura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzy Nakamura Context triple: [Dr. Ken, starring, Suzy Nakamura]
-
A.
Mari Okada
Mari Okada is a renowned Japanese screenwriter and director best known for her emotionally charged anime works such as "Anohana: The Flower We Saw That Day" and "Maquia: When the Promised Flower Blooms."
-
B.
Lisa Matsuda
Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
-
C.
Susan Oyama
Susan Oyama is an American philosopher and cognitive scientist best known for her work in developmental systems theory and critiques of genetic determinism.
-
D.
Airi Suzuki
Airi Suzuki is a Japanese pop singer, actress, and former member of the idol groups °C-ute and Buono! under Hello! Project.
-
E.
Adele Yoshioka
Adele Yoshioka is an actress best known for her role in the 1973 Clint Eastwood crime film "Magnum Force."
- 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: Suzy Nakamura Triple: [Dr. Ken, starring, Suzy Nakamura]
Generated description
Suzy Nakamura is an American actress and comedian known for her work in television sitcoms and comedic roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzy Nakamura Target entity description: Suzy Nakamura is an American actress and comedian known for her work in television sitcoms and comedic roles.
-
A.
Mari Okada
Mari Okada is a renowned Japanese screenwriter and director best known for her emotionally charged anime works such as "Anohana: The Flower We Saw That Day" and "Maquia: When the Promised Flower Blooms."
-
B.
Lisa Matsuda
Lisa Matsuda is a neuroscientist best known for identifying and characterizing the CB1 cannabinoid receptor, a key component of the endocannabinoid system in the brain.
-
C.
Susan Oyama
Susan Oyama is an American philosopher and cognitive scientist best known for her work in developmental systems theory and critiques of genetic determinism.
-
D.
Airi Suzuki
Airi Suzuki is a Japanese pop singer, actress, and former member of the idol groups °C-ute and Buono! under Hello! Project.
-
E.
Adele Yoshioka
Adele Yoshioka is an actress best known for her role in the 1973 Clint Eastwood crime film "Magnum Force."
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6796d8819088cbecc0588ae5fc |
completed | April 1, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eab0860c819091b0169f82eac47f |
completed | April 5, 2026, 4:53 a.m. |
| NEDg | Description generation | batch_69d1edda5b748190a0d7a1449cad2f68 |
completed | April 5, 2026, 5:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ee6545208190baedf170f129ae84 |
completed | April 5, 2026, 5:08 a.m. |
Created at: March 30, 2026, 7:52 p.m.