Triple

T32641136
Position Surface form Disambiguated ID Type / Status
Subject 浅野忠信 E834481 entity
Predicate notableWork P4 FINISHED
Object マイティ・ソー バトルロイヤル
『マイティ・ソー バトルロイヤル』は、マーベル・コミックのキャラクター「ソー」を主人公としたマーベル・シネマティック・ユニバースの一作で、ユーモアとスタイリッシュなアクションでシリーズの路線を刷新したスーパーヒーロー映画です。
E2017933 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: マイティ・ソー バトルロイヤル | Statement: [浅野忠信, notableWork, マイティ・ソー バトルロイヤル]
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: マイティ・ソー バトルロイヤル
Triple: [浅野忠信, notableWork, マイティ・ソー バトルロイヤル]
Generated description
『マイティ・ソー バトルロイヤル』は、マーベル・コミックのキャラクター「ソー」を主人公としたマーベル・シネマティック・ユニバースの一作で、ユーモアとスタイリッシュなアクションでシリーズの路線を刷新したスーパーヒーロー映画です。

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_69f3492e773c81908afc10651e46cad3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c74dcb20819093e705d8e9c9de95 completed May 3, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3492a1bf8c81908c1383fea00bcd07 completed June 19, 2026, 12:51 a.m.
NEDg Description generation batch_6a349920d0ac8190957d890bfc2a1fd8 completed June 19, 2026, 1:19 a.m.
NED2 Entity disambiguation (via description) batch_6a3499731d408190ac0e13b962bb5ceb completed June 19, 2026, 1:20 a.m.
Created at: May 1, 2026, 1:07 a.m.