Triple

T32641124
Position Surface form Disambiguated ID Type / Status
Subject 浅野忠信 E834481 entity
Predicate notableWork P4 FINISHED
Object ヴィタール
ヴィタール（Vital）は、塚本晋也監督による2004年公開の日本のサイコロジカルドラマ映画で、記憶喪失の青年が解剖実習を通じて亡き恋人との記憶をたどる物語を描いている。
 E2015771 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: ヴィタール | Statement: [浅野忠信, notableWork, ヴィタール]
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: ヴィタール
Triple: [浅野忠信, notableWork, ヴィタール]
Generated description
ヴィタール（Vital）は、塚本晋也監督による2004年公開の日本のサイコロジカルドラマ映画で、記憶喪失の青年が解剖実習を通じて亡き恋人との記憶をたどる物語を描いている。

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_6a34862d786c8190b1cefb6426dbc45f completed June 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a3486aaaeb88190b1ae19979cec268f completed June 19, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a348a6e63bc8190a6df0a77a51245cc completed June 19, 2026, 12:16 a.m.
Created at: May 1, 2026, 1:07 a.m.