Triple

T5774424
Position Surface form Disambiguated ID Type / Status
Subject Hiroaki Abe E127403 entity
Predicate givenName P17 FINISHED
Object Hiroaki
Hiroaki is a Japanese masculine given name that can be written with various kanji combinations and is borne by numerous notable figures in fields such as politics, sports, and the arts.
 E554480 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: Hiroaki | Statement: [Hiroaki Abe, givenName, Hiroaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hiroaki
Context triple: [Hiroaki Abe, givenName, Hiroaki]
  • A. Hirofumi
    Hirofumi is a Japanese given name commonly borne by men, including notable contemporary politicians.
  • B. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • C. 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.
  • D. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • E. Yoshihisa
    Yoshihisa is a Japanese given name commonly used for males.
  • 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: Hiroaki
Triple: [Hiroaki Abe, givenName, Hiroaki]
Generated description
Hiroaki is a Japanese masculine given name that can be written with various kanji combinations and is borne by numerous notable figures in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hiroaki
Target entity description: Hiroaki is a Japanese masculine given name that can be written with various kanji combinations and is borne by numerous notable figures in fields such as politics, sports, and the arts.
  • A. Hirofumi
    Hirofumi is a Japanese given name commonly borne by men, including notable contemporary politicians.
  • B. Yasuhiro
    Yasuhiro is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • C. 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.
  • D. Tadahiko
    Tadahiko is a Japanese masculine given name used by various notable individuals in fields such as sports, arts, and academia.
  • E. Yoshihisa
    Yoshihisa is a Japanese given name commonly used for males.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029b0aa1c8190bf513212cfead33c completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0cbc4188190b40cf403e43411fa completed March 23, 2026, 3:17 a.m.
NEDg Description generation batch_69c0b5067a08819099ef4caf08ca6f33 completed March 23, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69c0b55a971c819091aaf9817776a826 completed March 23, 2026, 3:36 a.m.
Created at: March 22, 2026, 3:50 p.m.