Triple

T32431059
Position Surface form Disambiguated ID Type / Status
Subject Shintaro Ishihara E828722 entity
Predicate memberOfPoliticalParty P10 FINISHED
Object Japan Restoration Party
The Japan Restoration Party was a Japanese right-leaning reformist political party known for its advocacy of administrative reform, decentralization, and nationalist policies in the early 2010s.
E2020282 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: Japan Restoration Party | Statement: [Shintaro Ishihara, memberOfPoliticalParty, Japan Restoration Party]
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: Japan Restoration Party
Triple: [Shintaro Ishihara, memberOfPoliticalParty, Japan Restoration Party]
Generated description
The Japan Restoration Party was a Japanese right-leaning reformist political party known for its advocacy of administrative reform, decentralization, and nationalist policies in the early 2010s.

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_69f3491bf298819097b610f772d54a6d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c2ae4f388190b97bfca23ce5ddcd completed May 3, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34a78f537481909b7b3b9e58b496ab completed June 19, 2026, 2:21 a.m.
NEDg Description generation batch_6a34a802cefc819080dc5d4d70df2009 completed June 19, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_6a34a86fe6d08190a50ff5a0a887894e completed June 19, 2026, 2:24 a.m.
Created at: May 1, 2026, 12:55 a.m.