Triple

T15399361
Position Surface form Disambiguated ID Type / Status
Subject 竹下登 E368268 entity
Predicate 所属派閥 P23895 FINISHED
Object 経世会
経世会は、竹下登らを中心に自民党内で大きな影響力を持った保守本流系の有力派閥です。
E1154928 NE FINISHED

How this triple was built (4 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: 経世会 | Statement: [竹下登, 所属派閥, 経世会]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 経世会
Context triple: [竹下登, 所属派閥, 経世会]
  • A. Nihon Mingeikan
    Nihon Mingeikan is a Tokyo museum dedicated to Japanese folk crafts, showcasing everyday handmade objects central to the mingei (folk art) movement.
  • B. Nihon Minshutō
    Nihon Minshutō was a conservative political party in Japan that existed in the mid-1950s and played a key role in the formation of the modern Liberal Democratic Party.
  • C. Sankeien Hoshōkai Foundation
    The Sankeien Hoshōkai Foundation is an organization responsible for preserving, operating, and promoting the historic Sankeien Garden in Yokohama, Japan.
  • D. Taisei Yokusankai
    Taisei Yokusankai was a wartime Japanese political organization that functioned as a single-party apparatus supporting militarist and imperial policies under Prime Minister Fumimaro Konoe during World War II.
  • E. Keidanren
    Keidanren is Japan’s most influential business federation, representing major corporations and industry groups in shaping the country’s economic and industrial policy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: 経世会
Triple: [竹下登, 所属派閥, 経世会]
Generated description
経世会は、竹下登らを中心に自民党内で大きな影響力を持った保守本流系の有力派閥です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 経世会
Target entity description: 経世会は、竹下登らを中心に自民党内で大きな影響力を持った保守本流系の有力派閥です。
  • A. Nihon Mingeikan
    Nihon Mingeikan is a Tokyo museum dedicated to Japanese folk crafts, showcasing everyday handmade objects central to the mingei (folk art) movement.
  • B. Nihon Minshutō
    Nihon Minshutō was a conservative political party in Japan that existed in the mid-1950s and played a key role in the formation of the modern Liberal Democratic Party.
  • C. Sankeien Hoshōkai Foundation
    The Sankeien Hoshōkai Foundation is an organization responsible for preserving, operating, and promoting the historic Sankeien Garden in Yokohama, Japan.
  • D. Taisei Yokusankai
    Taisei Yokusankai was a wartime Japanese political organization that functioned as a single-party apparatus supporting militarist and imperial policies under Prime Minister Fumimaro Konoe during World War II.
  • E. Keidanren
    Keidanren is Japan’s most influential business federation, representing major corporations and industry groups in shaping the country’s economic and industrial policy.
  • F. None of above. chosen

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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8d89e08190b7cae778d89fb5e1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13567e3481908eb6293c6af35f3a completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff144af00481909191a2d33874c195 completed May 9, 2026, 11:02 a.m.
NED2 Entity disambiguation (via description) batch_69ff15ae7c9c81909fd0894e48e5b5b1 completed May 9, 2026, 11:08 a.m.
Created at: April 10, 2026, 3:19 a.m.