Triple
T12366660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If My Heart Had Wings |
E294889
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Asa Kazato
Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
|
E994997
|
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: Asa Kazato | Statement: [If My Heart Had Wings, hasMainCharacter, Asa Kazato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asa Kazato Context triple: [If My Heart Had Wings, hasMainCharacter, Asa Kazato]
-
A.
Takatoshi
Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
-
B.
Kazuhiko
Kazuhiko is a Japanese given name commonly used for males.
-
C.
Toshimichi
Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
-
D.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
E.
Mako Kamitsuna
Mako Kamitsuna is a Japanese-born film editor and filmmaker known for her work on critically acclaimed independent films, including the period drama "Mudbound."
- 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: Asa Kazato Triple: [If My Heart Had Wings, hasMainCharacter, Asa Kazato]
Generated description
Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asa Kazato Target entity description: Asa Kazato is a central character in the visual novel "If My Heart Had Wings," known for her quiet demeanor and involvement in the story’s themes of youth, dreams, and aviation.
-
A.
Takatoshi
Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
-
B.
Kazuhiko
Kazuhiko is a Japanese given name commonly used for males.
-
C.
Toshimichi
Toshimichi is a Japanese given name most famously borne by Ōkubo Toshimichi, a key statesman and leader of the Meiji Restoration.
-
D.
Shizuo
Shizuo is a Japanese masculine given name borne by several notable figures, including mathematicians and artists.
-
E.
Mako Kamitsuna
Mako Kamitsuna is a Japanese-born film editor and filmmaker known for her work on critically acclaimed independent films, including the period drama "Mudbound."
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa502988190ba170dee90d9f394 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66854281c8190bd8d21d501cddb89 |
completed | May 2, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_69f669527fe881909baeb84ccff506c8 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fbb9f88190b0f5cc5bb758d132 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.