Triple
T9001596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Your Lie in April |
E215049
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Ryōta Watari
Ryōta Watari is a cheerful, popular high school soccer player and loyal friend in the anime and manga series "Your Lie in April."
|
E781550
|
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: Ryōta Watari | Statement: [Your Lie in April, mainCharacter, Ryōta Watari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryōta Watari Context triple: [Your Lie in April, mainCharacter, Ryōta Watari]
-
A.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
-
B.
Murata Makoto
Murata Makoto is a Japanese computer scientist best known for his work on XML technologies and for designing the RELAX schema language.
-
C.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
D.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
E.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
- 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: Ryōta Watari Triple: [Your Lie in April, mainCharacter, Ryōta Watari]
Generated description
Ryōta Watari is a cheerful, popular high school soccer player and loyal friend in the anime and manga series "Your Lie in April."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryōta Watari Target entity description: Ryōta Watari is a cheerful, popular high school soccer player and loyal friend in the anime and manga series "Your Lie in April."
-
A.
Toru Watanabe
Toru Watanabe is the introspective university student protagonist of Haruki Murakami’s novel "Norwegian Wood," whose coming-of-age story explores love, loss, and emotional turmoil in 1960s Tokyo.
-
B.
Murata Makoto
Murata Makoto is a Japanese computer scientist best known for his work on XML technologies and for designing the RELAX schema language.
-
C.
Makoto Uchida
Makoto Uchida is a Japanese automotive executive who serves as the chief executive officer of Nissan Motor Co.
-
D.
Shintaro
Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
-
E.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6956a6e08190bd3853a7c1c130eb |
completed | April 1, 2026, 12:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0543acf50819091d0d831a106e169 |
completed | April 3, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69d0553c2b58819086a651863f884064 |
completed | April 4, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0562e41bc8190801c75e962600df2 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:05 p.m.