Triple

T2932726
Position Surface form Disambiguated ID Type / Status
Subject Nakae Chōmin E79191 entity
Predicate nativeName P15 FINISHED
Object 中江兆民
中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
E312614 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: 中江兆民 | Statement: [Nakae Chōmin, nativeName, 中江兆民]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 中江兆民
Context triple: [Nakae Chōmin, nativeName, 中江兆民]
  • A. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • B. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • C. Isogai Rensuke
    Isogai Rensuke was an Imperial Japanese Army general who commanded forces in China during the Second Sino-Japanese War, including at major engagements such as the Battle of Taierzhuang.
  • D. 井上 成美
    井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
  • E. Natsume Sōseki
    Natsume Sōseki was a seminal Japanese novelist and scholar of the Meiji era, best known for works like "Kokoro" and "I Am a Cat," and is widely regarded as one of Japan’s greatest modern writers.
  • 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: 中江兆民
Triple: [Nakae Chōmin, nativeName, 中江兆民]
Generated description
中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 中江兆民
Target entity description: 中江兆民 was a pioneering Meiji-era Japanese political philosopher, journalist, and translator known for introducing and popularizing Western liberal and democratic thought in Japan.
  • A. 朝永振一郎
    朝永振一郎 was a Japanese theoretical physicist and Nobel laureate renowned for his fundamental contributions to quantum electrodynamics.
  • B. 吉田 茂
    吉田 茂は、戦後日本の復興と独立回復を主導し、サンフランシスコ講和条約の締結などで知られる日本の政治家・第45・48–51代内閣総理大臣です。
  • C. Isogai Rensuke
    Isogai Rensuke was an Imperial Japanese Army general who commanded forces in China during the Second Sino-Japanese War, including at major engagements such as the Battle of Taierzhuang.
  • D. 井上 成美
    井上成美は、第二次世界大戦期に連合艦隊司令長官などを務めた日本海軍の軍人であり、戦後は平和主義的な言動でも知られた人物である。
  • E. Natsume Sōseki
    Natsume Sōseki was a seminal Japanese novelist and scholar of the Meiji era, best known for works like "Kokoro" and "I Am a Cat," and is widely regarded as one of Japan’s greatest modern writers.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983a4ae08190aa1aeb2747abd1a1 completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0867796808190a026c165e759f3ea completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0dfcee6608190a5e3608c42e1efa0 completed March 11, 2026, 3:21 a.m.
NED2 Entity disambiguation (via description) batch_69b0e411b7d88190a396f7fe10f86c46 completed March 11, 2026, 3:40 a.m.
Created at: March 8, 2026, 2:55 p.m.