Triple

T33329941
Position Surface form Disambiguated ID Type / Status
Subject 岸田文雄 E853374 entity
Predicate 前職 P28984 FINISHED
Object 自民党政務調査会長
自民党政務調査会長は、自由民主党の政策立案や調査・審議を統括し、党の政策方針を取りまとめる要職である。
 E2045879 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: 自民党政務調査会長 | Statement: [岸田文雄, 前職, 自民党政務調査会長]
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: 自民党政務調査会長
Triple: [岸田文雄, 前職, 自民党政務調査会長]
Generated description
自民党政務調査会長は、自由民主党の政策立案や調査・審議を統括し、党の政策方針を取りまとめる要職である。

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_69f34969614c81909cd99661b0902533 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6df47fa9c81908496c2ab723d2c33 completed May 3, 2026, 5:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3543381f248190a989a238396d6d8b completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a3544dface08190a88af0bbb2673705 completed June 19, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_6a3545433f4c8190ab0e7c2ff6bf7660 completed June 19, 2026, 1:33 p.m.
Created at: May 1, 2026, 1:34 a.m.