Triple

T38441867
Position Surface form Disambiguated ID Type / Status
Subject Akira Yoshimura E906518 entity
Predicate nativeName P15 FINISHED
Object 吉村昭
吉村昭は、綿密な取材と史実に基づく重厚な歴史・戦争文学やドキュメンタリー風小説で知られる日本の小説家です。
 E2269533 NE FINISHED

How this triple was built (2 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: 吉村昭 | Statement: [Akira Yoshimura, nativeName, 吉村昭]
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: 吉村昭
Triple: [Akira Yoshimura, nativeName, 吉村昭]
Generated description
吉村昭は、綿密な取材と史実に基づく重厚な歴史・戦争文学やドキュメンタリー風小説で知られる日本の小説家です。

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_69f76e72878c8190a692836c8b01b58b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fccdd734e08190b67e48ac872cc18c completed May 7, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c29ba5f881909557b9d5d3f86b6e completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c3dac6ec81909231576db0b9808d completed June 29, 2026, 1:01 a.m.
NED2 Entity disambiguation (via description) batch_6a41c481f72c8190b44745166b1bb8c4 completed June 29, 2026, 1:04 a.m.
Created at: May 3, 2026, 4:31 p.m.