Triple

T33371985
Position Surface form Disambiguated ID Type / Status
Subject 第1次安倍内閣 E854515 entity
Predicate 内閣官房副長官 P176823 FINISHED
Object 下村博文
下村博文は、自民党所属の衆議院議員として文部科学大臣などを歴任した日本の保守系政治家である。
 E2046988 NE FINISHED

How this triple was built (3 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: 下村博文 | Statement: [第1次安倍内閣, 内閣官房副長官, 下村博文]
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: 下村博文
Triple: [第1次安倍内閣, 内閣官房副長官, 下村博文]
Generated description
下村博文は、自民党所属の衆議院議員として文部科学大臣などを歴任した日本の保守系政治家である。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 内閣官房副長官
Context triple: [第1次安倍内閣, 内閣官房副長官, 下村博文]
  • A. deputyMinister
    Indicates that one entity serves as the deputy minister (second-in-command or subordinate minister) to another entity within a governmental or ministerial hierarchy.
  • B. deputyPremier
    Indicates that one entity holds the position of deputy premier in relation to a specified political jurisdiction or governing body.
  • C. stateSecretary
    Indicates that one entity holds or is associated with the position of state secretary in relation to another entity (such as a government, state, or administration).
  • D. ministerIs
    Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
  • E. deputyPrimeMinister
    Indicates that one entity serves as the deputy prime minister (second-in-command in the government’s executive leadership) of another political body or jurisdiction.
  • F. None of above. chosen

Provenance (7 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_69f3496ca10c8190908640d18fa00832 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f38159d08190980ad639e08f00f4 completed May 3, 2026, 7:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35521d10fc8190bc7a6f5801a3c7d6 completed June 19, 2026, 2:28 p.m.
NEDg Description generation batch_6a3553e4829c8190bbb62bb63b8d488f completed June 19, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_6a3554a6e0ec819099dac83f8f062643 completed June 19, 2026, 2:39 p.m.
PD Predicate disambiguation batch_69f6e3d7bee48190b94e0beb48a1d7fa completed May 3, 2026, 5:57 a.m.
PDg Predicate description generation batch_69f6f37f36ac8190b1bff8711d6771cb completed May 3, 2026, 7:04 a.m.
Created at: May 1, 2026, 1:35 a.m.