Triple

T12235683
Position Surface form Disambiguated ID Type / Status
Subject Minoru Genda E291584 entity
Predicate familyName P18 FINISHED
Object Genda
Genda is a Japanese surname most notably associated with Minoru Genda, an Imperial Japanese Navy officer and key planner of the attack on Pearl Harbor.
 E970775 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: Genda | Statement: [Minoru Genda, familyName, Genda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Genda
Context triple: [Minoru Genda, familyName, Genda]
  • A. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • B. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • C. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • D. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • E. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • 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: Genda
Triple: [Minoru Genda, familyName, Genda]
Generated description
Genda is a Japanese surname most notably associated with Minoru Genda, an Imperial Japanese Navy officer and key planner of the attack on Pearl Harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Genda
Target entity description: Genda is a Japanese surname most notably associated with Minoru Genda, an Imperial Japanese Navy officer and key planner of the attack on Pearl Harbor.
  • A. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • B. Gugino
    Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
  • C. Gorie
    Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
  • D. Enenga
    Enenga is a dialect of the Myene language spoken by communities in Gabon.
  • E. Itami
    Itami is a city in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport).
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab19a4c8190b4692d7ab0d02a12 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bdd8d508190813178ff4c77afcf completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c67c680819087630d190d0a008f completed May 2, 2026, 2:38 p.m.
Created at: April 8, 2026, 9:51 p.m.