Triple

T25201250
Position Surface form Disambiguated ID Type / Status
Subject Persona 4 (English dub) E631130 entity
Predicate character P662 FINISHED
Object Yosuke Hanamaki
Yosuke Hanamaki is a main party member in Persona 4, known as the protagonist’s upbeat yet insecure classmate who fights alongside him to solve the mysterious murders in Inaba.
E2297041 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: Yosuke Hanamaki | Statement: [Persona 4 (English dub), character, Yosuke Hanamaki]
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: Yosuke Hanamaki
Triple: [Persona 4 (English dub), character, Yosuke Hanamaki]
Generated description
Yosuke Hanamaki is a main party member in Persona 4, known as the protagonist’s upbeat yet insecure classmate who fights alongside him to solve the mysterious murders in Inaba.

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_69e75a8b86c4819089eda22c843b739f completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f474b5e4408190b726bbd038fa3862 completed May 1, 2026, 9:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82f93a4fe8819082f1b85c617e75a7 completed Aug. 17, 2026, 12:06 p.m.
NEDg Description generation batch_6a82f9b764a8819082108464e1b36dcd completed Aug. 17, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_6a82fa08db54819088f3df6cfeb94999 completed Aug. 17, 2026, 12:09 p.m.
Created at: April 21, 2026, 12:51 p.m.