Triple

T13157049
Position Surface form Disambiguated ID Type / Status
Subject Nakae Chōmin E312616 entity
Predicate hasPenName P3799 FINISHED
Object Chōmin E312616 NE FINISHED

How this triple was built (2 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, hasPenName, Chōmin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chōmin
Context triple: [Nakae Chōmin, hasPenName, Chōmin]
  • A. Chōmin chosen
    Chōmin was the pen name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy during the Meiji era.
  • B. Shimin
    Shimin, better known as Emperor Taizong of Tang, was the second emperor of China’s Tang dynasty and is celebrated as one of its greatest and most capable rulers.
  • C. Chō
    Chō is a Japanese surname borne by various notable individuals across fields such as the military, arts, and entertainment.
  • D. Chinju
    Chinju (often spelled Jinju) is a city in South Gyeongsang Province, South Korea, known for its historic fortress, Namgang Yudeung (Lantern) Festival, and rich cultural heritage.
  • E. Chuo
    Chuo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi, Ginza, and Tsukiji.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c084028819093bc4e94d53b4f17 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eaf06f408190949f9ed5e899815b completed May 3, 2026, 6:28 a.m.
Created at: April 9, 2026, 9:12 p.m.