Triple

T35440673
Position Surface form Disambiguated ID Type / Status
Subject 松山ケンイチ E1024330 entity
Predicate portrayedCharacter P1668 FINISHED
Object 平清盛
平清盛は、平安時代末期に武家として初めて政権の中枢を掌握し、平家政権を築き上げた日本の武将・公卿である。
E2140496 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: 平清盛 | Statement: [松山ケンイチ, portrayedCharacter, 平清盛]
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: 平清盛
Triple: [松山ケンイチ, portrayedCharacter, 平清盛]
Generated description
平清盛は、平安時代末期に武家として初めて政権の中枢を掌握し、平家政権を築き上げた日本の武将・公卿である。

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_69f76df8089481909f0018266ee881b7 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f795c200f48190a596f34fdae23fd7 completed May 3, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3836c48e4881909e43a08ca5519316 completed June 21, 2026, 7:08 p.m.
NEDg Description generation batch_6a383817ee348190af59b2a3b11cf608 completed June 21, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_6a383916e7ec81909b37a77bd6b0e2ed completed June 21, 2026, 7:18 p.m.
Created at: May 3, 2026, 4:04 p.m.