Triple

T21466979
Position Surface form Disambiguated ID Type / Status
Subject The Wind Rises E529617 entity
Predicate mainCharacter P1183 FINISHED
Object Naoko Satomi
Naoko Satomi is a gentle, artistic young woman whose tragic romance with aircraft designer Jiro Horikoshi forms the emotional core of Hayao Miyazaki’s animated film *The Wind Rises*.
E1700940 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: Naoko Satomi | Statement: [The Wind Rises, mainCharacter, Naoko Satomi]
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: Naoko Satomi
Triple: [The Wind Rises, mainCharacter, Naoko Satomi]
Generated description
Naoko Satomi is a gentle, artistic young woman whose tragic romance with aircraft designer Jiro Horikoshi forms the emotional core of Hayao Miyazaki’s animated film *The Wind Rises*.

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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10ec6f631c8190b4d549e69a7e1b47 completed May 22, 2026, 11:53 p.m.
NEDg Description generation batch_6a10edf7ff0c8190935a637ff0df364b completed May 22, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a10ef6795e08190a1ba5f600628316b completed May 23, 2026, 12:05 a.m.
Created at: April 16, 2026, 6:13 p.m.