Triple

T3544822
Position Surface form Disambiguated ID Type / Status
Subject Noboru Takeshita E74970 entity
Predicate familyName P18 FINISHED
Object Takeshita
Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
E379844 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: Takeshita | Statement: [Noboru Takeshita, familyName, Takeshita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeshita
Context triple: [Noboru Takeshita, familyName, Takeshita]
  • A. Shinzo
    Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
  • B. Yoshihide
    Yoshihide is a Japanese given name commonly used for males.
  • C. 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.
  • D. Nobutaka
    Nobutaka is a Japanese masculine given name commonly borne by politicians, athletes, and other public figures.
  • E. Nobuteru Ishihara
    Nobuteru Ishihara is a Japanese politician from the Liberal Democratic Party who has served in the House of Representatives and held cabinet positions including Minister of the Environment.
  • 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: Takeshita
Triple: [Noboru Takeshita, familyName, Takeshita]
Generated description
Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takeshita
Target entity description: Takeshita is a Japanese surname borne by various notable figures in politics, sports, and entertainment.
  • A. Shinzo
    Shinzo is the given name of Shinzo Abe, the former Prime Minister of Japan and a prominent modern Japanese political leader.
  • B. Yoshihide
    Yoshihide is a Japanese given name commonly used for males.
  • C. 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.
  • D. Nobutaka
    Nobutaka is a Japanese masculine given name commonly borne by politicians, athletes, and other public figures.
  • E. Nobuteru Ishihara
    Nobuteru Ishihara is a Japanese politician from the Liberal Democratic Party who has served in the House of Representatives and held cabinet positions including Minister of the Environment.
  • 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_69ad85d274cc8190ab59c97298a1cfbf completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf76c5b08190b898d31b80a3a350 completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3771e348190badb02264ecbdce2 completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c505fd188190a2147e590f35e1d8 completed March 14, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69b4c6393164819082ae34a54667c8a8 completed March 14, 2026, 2:21 a.m.
Created at: March 8, 2026, 3:20 p.m.