Triple

T22011347
Position Surface form Disambiguated ID Type / Status
Subject Chō E543580 entity
Predicate givenName P17 FINISHED
Object Yūichi
Yūichi is a Japanese masculine given name that can be written with various kanji combinations, often carrying meanings related to bravery, excellence, or first son.
 E1560656 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: Yūichi | Statement: [Chō, givenName, Yūichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yūichi
Context triple: [Chō, givenName, Yūichi]
  • A. Tsuyoshi
    Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • B. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • C. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • D. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • E. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • 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: Yūichi
Triple: [Chō, givenName, Yūichi]
Generated description
Yūichi is a Japanese masculine given name that can be written with various kanji combinations, often carrying meanings related to bravery, excellence, or first son.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yūichi
Target entity description: Yūichi is a Japanese masculine given name that can be written with various kanji combinations, often carrying meanings related to bravery, excellence, or first son.
  • A. Tsuyoshi
    Tsuyoshi is a Japanese masculine given name borne by various notable figures in politics, sports, and entertainment.
  • B. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • C. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • D. Yuji
    Yuji is a common Japanese masculine given name used by various real and fictional individuals.
  • E. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a520bc8190865f525a87255fb2 completed April 28, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0bb9a644ac81908759165afee762d1 completed May 19, 2026, 1:15 a.m.
NEDg Description generation batch_6a0bbb59ff98819081ccb651f6a1d154 completed May 19, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_6a0bbc2a2244819090ead891e1a866ed completed May 19, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:22 p.m.