Triple

T30348927
Position Surface form Disambiguated ID Type / Status
Subject エンジェルビーツ E771936 entity
Predicate 主要キャラクター P39597 FINISHED
Object 日向秀樹
日向秀樹は、アニメ『Angel Beats!』に登場する、明るくお調子者だが仲間思いで面倒見の良い青年キャラクターです。
E1909923 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: 日向秀樹 | Statement: [エンジェルビーツ, 主要キャラクター, 日向秀樹]
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: 日向秀樹
Triple: [エンジェルビーツ, 主要キャラクター, 日向秀樹]
Generated description
日向秀樹は、アニメ『Angel Beats!』に登場する、明るくお調子者だが仲間思いで面倒見の良い青年キャラクターです。

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_69f2248b9a208190bc3e6804acd5afd6 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6820a250c8190ba7afa43f6f55c46 completed May 2, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c2b30008190bfe6c3ea7d68a44c completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277d09f32c8190a75331cdfafd9456 completed June 9, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_6a277dc92acc8190a98adcae99ea819c completed June 9, 2026, 2:43 a.m.
Created at: April 29, 2026, 7:56 p.m.