Triple

T12496368
Position Surface form Disambiguated ID Type / Status
Subject Kiichi E298695 entity
Predicate hasNotableBearer P458 FINISHED
Object Kiichi Hogen
Kiichi Hogen is a legendary Japanese swordsmith and martial arts master often depicted in folklore and classical literature as a teacher of renowned warriors.
 E1182455 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: Kiichi Hogen | Statement: [Kiichi, hasNotableBearer, Kiichi Hogen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiichi Hogen
Context triple: [Kiichi, hasNotableBearer, Kiichi Hogen]
  • A. Noda Kōichi
    Noda Kōichi is a Japanese architect best known for creating the iconic Kobe Port Tower, a landmark of Kobe’s waterfront skyline.
  • B. Jirō Minami
    Jirō Minami was a Japanese general and colonial administrator who served as Governor-General of Korea during the later period of Japanese rule.
  • C. Kiichiro
    Kiichiro is a Japanese given name most famously borne by Kiichiro Toyoda, the founder of Toyota Motor Corporation.
  • D. Saburō Kurusu
    Saburō Kurusu was a Japanese diplomat best known for his role in U.S.-Japan negotiations immediately before the attack on Pearl Harbor.
  • E. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • 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: Kiichi Hogen
Triple: [Kiichi, hasNotableBearer, Kiichi Hogen]
Generated description
Kiichi Hogen is a legendary Japanese swordsmith and martial arts master often depicted in folklore and classical literature as a teacher of renowned warriors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiichi Hogen
Target entity description: Kiichi Hogen is a legendary Japanese swordsmith and martial arts master often depicted in folklore and classical literature as a teacher of renowned warriors.
  • A. Noda Kōichi
    Noda Kōichi is a Japanese architect best known for creating the iconic Kobe Port Tower, a landmark of Kobe’s waterfront skyline.
  • B. Jirō Minami
    Jirō Minami was a Japanese general and colonial administrator who served as Governor-General of Korea during the later period of Japanese rule.
  • C. Kiichiro
    Kiichiro is a Japanese given name most famously borne by Kiichiro Toyoda, the founder of Toyota Motor Corporation.
  • D. Saburō Kurusu
    Saburō Kurusu was a Japanese diplomat best known for his role in U.S.-Japan negotiations immediately before the attack on Pearl Harbor.
  • E. Yasuhiko
    Yasuhiko is a Japanese given name notably borne by Prince Asaka Yasuhiko, a member of the Imperial Family of Japan in the early 20th century.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb02b55f4819098f2b18fcf17ef0e completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0ae72e48190a3c799a7f242c94c completed May 9, 2026, 10:09 p.m.
NED2 Entity disambiguation (via description) batch_69ffb0e11fc481908a2609979dea4d59 completed May 9, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:57 p.m.