Triple
T14891444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ran |
E359761
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Masayuki Yui
Masayuki Yui is a Japanese actor known for his role in Akira Kurosawa’s epic film "Ran" and for his work in both cinema and television.
|
E1129709
|
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: Masayuki Yui | Statement: [Ran, castMember, Masayuki Yui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masayuki Yui Context triple: [Ran, castMember, Masayuki Yui]
-
A.
Shigeko Yuki
Shigeko Yuki was a Japanese novelist and short story writer known for her psychologically nuanced portrayals of women’s lives in mid-20th-century Japan.
-
B.
Chieko Mori
Chieko Mori is a Japanese woman best known as the wife of former Prime Minister Yoshirō Mori.
-
C.
Gotō Yūko
Gotō Yūko was a Japanese voice actress known for her roles in popular anime series such as "Hidamari Sketch" and "Pani Poni Dash!".
-
D.
Yukari Tamura
Yukari Tamura is a popular Japanese voice actress and singer known for her work in anime and J-pop, often performing theme songs for various series.
-
E.
Ryoko Toyama
Ryoko Toyama is a Japanese scholar known for her work on knowledge management and organizational theory, often in collaboration with Ikujiro Nonaka.
- 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: Masayuki Yui Triple: [Ran, castMember, Masayuki Yui]
Generated description
Masayuki Yui is a Japanese actor known for his role in Akira Kurosawa’s epic film "Ran" and for his work in both cinema and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Masayuki Yui Target entity description: Masayuki Yui is a Japanese actor known for his role in Akira Kurosawa’s epic film "Ran" and for his work in both cinema and television.
-
A.
Shigeko Yuki
Shigeko Yuki was a Japanese novelist and short story writer known for her psychologically nuanced portrayals of women’s lives in mid-20th-century Japan.
-
B.
Chieko Mori
Chieko Mori is a Japanese woman best known as the wife of former Prime Minister Yoshirō Mori.
-
C.
Gotō Yūko
Gotō Yūko was a Japanese voice actress known for her roles in popular anime series such as "Hidamari Sketch" and "Pani Poni Dash!".
-
D.
Yukari Tamura
Yukari Tamura is a popular Japanese voice actress and singer known for her work in anime and J-pop, often performing theme songs for various series.
-
E.
Ryoko Toyama
Ryoko Toyama is a Japanese scholar known for her work on knowledge management and organizational theory, often in collaboration with Ikujiro Nonaka.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded5f883288190af602633fa7d6860 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bccc26c8190bf571ea7aee0e0f6 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8f0c0f848190b83dd19470c1fa27 |
completed | May 9, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8f71f0648190b419ff16a853d15b |
completed | May 9, 2026, 1:35 a.m. |
Created at: April 10, 2026, 2:10 a.m.