Triple

T6800259
Position Surface form Disambiguated ID Type / Status
Subject Tomonori Kanemoto E156164 entity
Predicate hasGivenName P17 FINISHED
Object Tomonori
Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
 E620941 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: Tomonori | Statement: [Tomonori Kanemoto, hasGivenName, Tomonori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomonori
Context triple: [Tomonori Kanemoto, hasGivenName, Tomonori]
  • A. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • B. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • E. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, 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: Tomonori
Triple: [Tomonori Kanemoto, hasGivenName, Tomonori]
Generated description
Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomonori
Target entity description: Tomonori is a Japanese masculine given name used by various notable individuals in fields such as sports and entertainment.
  • A. Tomoyuki
    Tomoyuki is a Japanese masculine given name borne by various notable figures in fields such as the military, arts, and entertainment.
  • B. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • E. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2e457408190a0ad9b0c48d8147c completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d211508190a31747b2d67ed42e completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c7244c3dcc8190852a26404354e63d completed March 28, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_69c724d8f3bc819090cf65d6ae0ba1ed completed March 28, 2026, 12:46 a.m.
Created at: March 27, 2026, 2:15 p.m.