Triple

T14758977
Position Surface form Disambiguated ID Type / Status
Subject Tetsuya Noda E346804 entity
Predicate givenName P17 FINISHED
Object Tetsuya
Tetsuya is a masculine Japanese given name commonly used for men in Japan and among Japanese communities worldwide.
 E1186911 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: Tetsuya | Statement: [Tetsuya Noda, givenName, Tetsuya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tetsuya
Context triple: [Tetsuya Noda, givenName, Tetsuya]
  • A. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • B. Takehiro
    Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
  • C. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • D. Tsuyoshi
    Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • E. Akinobu
    Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
  • 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: Tetsuya
Triple: [Tetsuya Noda, givenName, Tetsuya]
Generated description
Tetsuya is a masculine Japanese given name commonly used for men in Japan and among Japanese communities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tetsuya
Target entity description: Tetsuya is a masculine Japanese given name commonly used for men in Japan and among Japanese communities worldwide.
  • A. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • B. Takehiro
    Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
  • C. Takeharu
    Takeharu is a Japanese given name commonly used for males.
  • D. Tsuyoshi
    Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • E. Akinobu
    Akinobu is a Japanese masculine given name that can be written with various kanji combinations and is borne by several notable individuals.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe60d4a08190833397c75b56932c completed May 9, 2026, 11:08 p.m.
NEDg Description generation batch_69ffbf70d6488190944986503882678d completed May 9, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffc08179488190a8f434121bede859 completed May 9, 2026, 11:17 p.m.
Created at: April 10, 2026, 1:30 a.m.