Triple

T2932729
Position Surface form Disambiguated ID Type / Status
Subject Nakae Chōmin E79191 entity
Predicate pseudonym P39 FINISHED
Object Chōmin
Chōmin was the pen name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy during the Meiji era.
 E312616 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: Chōmin | Statement: [Nakae Chōmin, pseudonym, Chōmin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chōmin
Context triple: [Nakae Chōmin, pseudonym, Chōmin]
  • A. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • B. Ponto-chō
    Ponto-chō is a historic, narrow alley in Kyoto famous for its traditional teahouses, geisha culture, and atmospheric nightlife along the Kamogawa River.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • 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: Chōmin
Triple: [Nakae Chōmin, pseudonym, Chōmin]
Generated description
Chōmin was the pen name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy during the Meiji era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chōmin
Target entity description: Chōmin was the pen name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy during the Meiji era.
  • A. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • B. Ponto-chō
    Ponto-chō is a historic, narrow alley in Kyoto famous for its traditional teahouses, geisha culture, and atmospheric nightlife along the Kamogawa River.
  • C. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Taihoku
    Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
  • 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.