Triple

T9009357
Position Surface form Disambiguated ID Type / Status
Subject Aichi B7A E215427 entity
Predicate alsoKnownAs P39 FINISHED
Object Ryusei
Ryusei was the Imperial Japanese Navy’s Aichi B7A carrier-based torpedo-dive bomber developed during World War II.
 E773426 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: Ryusei | Statement: [Aichi B7A, alsoKnownAs, Ryusei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ryusei
Context triple: [Aichi B7A, alsoKnownAs, Ryusei]
  • A. Makoto
    Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
  • B. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • E. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • 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: Ryusei
Triple: [Aichi B7A, alsoKnownAs, Ryusei]
Generated description
Ryusei was the Imperial Japanese Navy’s Aichi B7A carrier-based torpedo-dive bomber developed during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ryusei
Target entity description: Ryusei was the Imperial Japanese Navy’s Aichi B7A carrier-based torpedo-dive bomber developed during World War II.
  • A. Makoto
    Makoto is a common Japanese given name used for people of any gender, often associated with sincerity or truth.
  • B. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • C. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • D. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • E. Isami
    Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c00ae8819090786385a72e8baf completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9a11948190a43f60d0df71b1af completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdd80d5ac8190862704a62ac1c942 completed April 3, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69cfde1eb8588190859a015f61d8f433 completed April 3, 2026, 3:34 p.m.
Created at: March 30, 2026, 7:06 p.m.