Triple
T4173099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shigeru Umebayashi |
E86409
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object |
梅林茂
梅林茂は、『花様年華』や『HERO』などで知られる、日本を代表する映画音楽作曲家です。
|
E418356
|
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: 梅林茂 | Statement: [Shigeru Umebayashi, nativeName, 梅林茂]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 梅林茂 Context triple: [Shigeru Umebayashi, nativeName, 梅林茂]
-
A.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
B.
中江兆民
中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
-
C.
宮本 茂
宮本 茂 is a legendary Japanese video game designer and producer at Nintendo, best known as the creator of iconic franchises such as Super Mario, The Legend of Zelda, and Donkey Kong.
-
D.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
E.
植木枝盛
植木枝盛 was a prominent Meiji-era Japanese political activist, journalist, and theorist of popular rights who strongly advocated constitutional government and civil liberties.
- 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: 梅林茂 Triple: [Shigeru Umebayashi, nativeName, 梅林茂]
Generated description
梅林茂は、『花様年華』や『HERO』などで知られる、日本を代表する映画音楽作曲家です。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 梅林茂 Target entity description: 梅林茂は、『花様年華』や『HERO』などで知られる、日本を代表する映画音楽作曲家です。
-
A.
山口那津男
山口那津男 is a Japanese politician who serves as the longtime leader of the Komeito party and has played a key role in Japan’s ruling coalition governments.
-
B.
中江兆民
中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
-
C.
宮本 茂
宮本 茂 is a legendary Japanese video game designer and producer at Nintendo, best known as the creator of iconic franchises such as Super Mario, The Legend of Zelda, and Donkey Kong.
-
D.
西村祥治
西村祥治 was an Imperial Japanese Navy admiral during World War II who commanded major surface forces in the Pacific War.
-
E.
植木枝盛
植木枝盛 was a prominent Meiji-era Japanese political activist, journalist, and theorist of popular rights who strongly advocated constitutional government and civil liberties.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02e65b548190be095df62091b960 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f51cac88190b6e849181fb78938 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b5800ab42c8190a1bc6f84db38f170 |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5843d6ac88190804242661d077546 |
completed | March 14, 2026, 3:52 p.m. |
Created at: March 9, 2026, 3:45 p.m.