Triple

T14084884
Position Surface form Disambiguated ID Type / Status
Subject Hirota Kōki E338965 entity
Predicate familyName P18 FINISHED
Object Hirota
Hirota is a Japanese surname borne by various notable figures in fields such as politics, sports, and the arts.
E1105620 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: Hirota | Statement: [Hirota Kōki, familyName, Hirota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirota
Context triple: [Hirota Kōki, familyName, Hirota]
  • A. Ishiba
    Ishiba is a Japanese surname most prominently associated with politician Shigeru Ishiba, a long-serving member of Japan’s Liberal Democratic Party and former defense minister.
  • B. Shinzo
    Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
  • C. Takeshita
    Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
  • D. Manriki
    Manriki is a small village on the Pacific island of Nikunau in the Republic of Kiribati.
  • E. Hara Takashi
    Hara Takashi was a Japanese politician who became the first commoner to serve as Prime Minister of Japan during the early Taishō period.
  • 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: Hirota
Triple: [Hirota Kōki, familyName, Hirota]
Generated description
Hirota is a Japanese surname borne by various notable figures in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hirota
Target entity description: Hirota is a Japanese surname borne by various notable figures in fields such as politics, sports, and the arts.
  • A. Ishiba
    Ishiba is a Japanese surname most prominently associated with politician Shigeru Ishiba, a long-serving member of Japan’s Liberal Democratic Party and former defense minister.
  • B. Shinzo
    Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
  • C. Takeshita
    Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
  • D. Manriki
    Manriki is a small village on the Pacific island of Nikunau in the Republic of Kiribati.
  • E. Hara Takashi
    Hara Takashi was a Japanese politician who became the first commoner to serve as Prime Minister of Japan during the early Taishō period.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5edff1b881909ea56dc2429ef2dd completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9eeff48190b8aa9a601574395a completed May 8, 2026, 7:02 a.m.
NEDg Description generation batch_69fd8b47257c8190980123227364b26d completed May 8, 2026, 7:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd8bb6fb248190b6dc632e7dc56c3f completed May 8, 2026, 7:07 a.m.
Created at: April 9, 2026, 10:21 p.m.