Triple

T3544821
Position Surface form Disambiguated ID Type / Status
Subject Noboru Takeshita E74970 entity
Predicate givenName P17 FINISHED
Object Noboru
Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
E420237 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: Noboru | Statement: [Noboru Takeshita, givenName, Noboru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noboru
Context triple: [Noboru Takeshita, givenName, Noboru]
  • A. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • B. Kuniaki
    Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
  • C. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • D. Yoshihisa
    Yoshihisa is a Japanese given name commonly used for males.
  • E. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • 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: Noboru
Triple: [Noboru Takeshita, givenName, Noboru]
Generated description
Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noboru
Target entity description: Noboru is a Japanese masculine given name commonly borne by notable figures in politics, sports, and entertainment.
  • A. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • B. Kuniaki
    Kuniaki is a Japanese masculine given name that can be written with various kanji combinations and has been borne by several notable figures, including politicians and athletes.
  • C. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • D. Yoshihisa
    Yoshihisa is a Japanese given name commonly used for males.
  • E. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • 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_69b589b716648190aeaead138203cbf9 completed March 14, 2026, 4:15 p.m.
NEDg Description generation batch_69b58a9497b88190a46afd8b1996fed9 completed March 14, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69b58b26e4208190b4ec30a3b635194b completed March 14, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:20 p.m.