Triple

T13684257
Position Surface form Disambiguated ID Type / Status
Subject Tadashi Yanai E328080 entity
Predicate givenName P17 FINISHED
Object Tadashi
Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
 E1056279 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: Tadashi | Statement: [Tadashi Yanai, givenName, Tadashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tadashi
Context triple: [Tadashi Yanai, givenName, Tadashi]
  • A. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • B. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Shigeo
    Shigeo is a Japanese given name commonly used for males.
  • E. Tetsuzō
    Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
  • 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: Tadashi
Triple: [Tadashi Yanai, givenName, Tadashi]
Generated description
Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tadashi
Target entity description: Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
  • A. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • B. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Shigeo
    Shigeo is a Japanese given name commonly used for males.
  • E. Tetsuzō
    Tetsuzō is an alternate name for Katsushika Hokusai, the renowned Japanese ukiyo-e artist best known for his woodblock print series "Thirty-Six Views of Mount Fuji."
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7955fce288190a7e426f467517a91 completed May 3, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7996cddf08190973e493fb788ce7a completed May 3, 2026, 6:52 p.m.
Created at: April 9, 2026, 9:53 p.m.