Triple

T6393146
Position Surface form Disambiguated ID Type / Status
Subject Shigeru Ishiba E143876 entity
Predicate familyName P18 FINISHED
Object 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.
 E590855 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: Ishiba | Statement: [Shigeru Ishiba, familyName, Ishiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ishiba
Context triple: [Shigeru Ishiba, familyName, Ishiba]
  • A. Takeshita
    Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
  • B. Manriki
    Manriki is a small village on the Pacific island of Nikunau in the Republic of Kiribati.
  • C. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • D. Shinzo
    Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
  • E. Natsuo
    Natsuo is a Japanese given name commonly used for people of any gender, often associated with summer-themed kanji meanings.
  • 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: Ishiba
Triple: [Shigeru Ishiba, familyName, Ishiba]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ishiba
Target entity description: 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.
  • A. Takeshita
    Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
  • B. Manriki
    Manriki is a small village on the Pacific island of Nikunau in the Republic of Kiribati.
  • C. Noboru
    Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • D. Shinzo
    Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
  • E. Natsuo
    Natsuo is a Japanese given name commonly used for people of any gender, often associated with summer-themed kanji meanings.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
NEDg Description generation batch_69c63c5d5e2881908a27021616c69b97 completed March 27, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c63cb876788190a26ae84c2c69df95 completed March 27, 2026, 8:15 a.m.
Created at: March 22, 2026, 4:34 p.m.