Triple

T26780184
Position Surface form Disambiguated ID Type / Status
Subject 九条節子 E670224 entity
Predicate 関連人物 P37304 FINISHED
Object 浅川和行
浅川和行は、日本の作家・九条節子と関わりのある人物として知られている日本人である。
E1741763 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: 浅川和行 | Statement: [九条節子, 関連人物, 浅川和行]
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: 浅川和行
Triple: [九条節子, 関連人物, 浅川和行]
Generated description
浅川和行は、日本の作家・九条節子と関わりのある人物として知られている日本人である。

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_69eeb31c925881909b597f6e40056d28 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f619795b208190b039e396ab4629b2 completed May 2, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12095ed7348190a09957105ed3c8aa completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a8e2edc8190891be0f695a8c0e1 completed May 23, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_6a120b9ce700819089a799bf42cbbac9 completed May 23, 2026, 8:18 p.m.
Created at: April 27, 2026, 4:08 a.m.