Triple

T21360157
Position Surface form Disambiguated ID Type / Status
Subject Takeshi Kasai E526751 entity
Predicate givenName P17 FINISHED
Object Takeshi
Takeshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as entertainment, sports, and public service.
 E1513547 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: Takeshi | Statement: [Takeshi Kasai, givenName, Takeshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takeshi
Context triple: [Takeshi Kasai, givenName, Takeshi]
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Eiji
    Eiji was a brief Japanese era (nengō) of the late Heian period that followed the Tennin era and preceded the Gen'ei era during Emperor Toba’s reign.
  • C. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • D. Takashi
    Takashi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as arts, sports, and entertainment.
  • E. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • 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: Takeshi
Triple: [Takeshi Kasai, givenName, Takeshi]
Generated description
Takeshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as entertainment, sports, and public service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takeshi
Target entity description: Takeshi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as entertainment, sports, and public service.
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Eiji
    Eiji was a brief Japanese era (nengō) of the late Heian period that followed the Tennin era and preceded the Gen'ei era during Emperor Toba’s reign.
  • C. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • D. Takashi
    Takashi is a Japanese given name commonly used for males and borne by numerous notable figures in fields such as arts, sports, and entertainment.
  • E. Toshiaki
    Toshiaki is a Japanese masculine given name commonly used for men and boys in Japan.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bad6a308190a9665734a0fb5f55 completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a735d97808190a771cf85080dbb76 completed May 18, 2026, 2:03 a.m.
NEDg Description generation batch_6a0a74fbaad081908c82af6989820455 completed May 18, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0a75da70b0819086ad27b3f422c1a9 completed May 18, 2026, 2:13 a.m.
Created at: April 16, 2026, 5:07 p.m.