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.