Triple

T1575976
Position Surface form Disambiguated ID Type / Status
Subject Taro E33651 entity
Predicate exampleCompositeName P30731 FINISHED
Object Kōtarō
Kōtarō is a Japanese given name commonly used for males, often written with kanji that convey meanings such as "shining son" or "happy boy."
 E244039 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: Kōtarō | Statement: [Taro, exampleCompositeName, Kōtarō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kōtarō
Context triple: [Taro, exampleCompositeName, Kōtarō]
  • A. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • B. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • C. Tarō
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • D. Akinobu
    Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
  • E. Masayuki
    Masayuki 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: Kōtarō
Triple: [Taro, exampleCompositeName, Kōtarō]
Generated description
Kōtarō is a Japanese given name commonly used for males, often written with kanji that convey meanings such as "shining son" or "happy boy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kōtarō
Target entity description: Kōtarō is a Japanese given name commonly used for males, often written with kanji that convey meanings such as "shining son" or "happy boy."
  • A. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • B. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • C. Tarō chosen
    Tarō is a common Japanese masculine given name, often written with kanji meaning "eldest son" and frequently used in traditional and modern Japanese culture.
  • D. Akinobu
    Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
  • E. Masayuki
    Masayuki is a Japanese given name commonly used for males.
  • F. None of above.

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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61ddc9908190a4afca1c24400817 completed March 6, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae891d41d88190aec6987c64c99757 completed March 9, 2026, 8:47 a.m.
NEDg Description generation batch_69ae8b0b27cc819099a5df60d678d3e2 completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b79633881908acf94f8db389c0f completed March 9, 2026, 8:57 a.m.
Created at: March 4, 2026, 7:27 p.m.