Triple

T2822957
Position Surface form Disambiguated ID Type / Status
Subject Medal of Honor (Japan) E54851 entity
Predicate alsoKnownAs P39 FINISHED
Object 褒章
褒章 is a Japanese government decoration awarded to individuals for distinguished achievements and meritorious service in various fields such as public welfare, culture, and industry.
 E301046 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: 褒章 | Statement: [Medal of Honor (Japan), alsoKnownAs, 褒章]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 褒章
Context triple: [Medal of Honor (Japan), alsoKnownAs, 褒章]
  • A. 奉文
    奉文 is the given name of Tomoyuki Yamashita, a prominent Imperial Japanese Army general during World War II, known as the "Tiger of Malaya."
  • B. Hongzhi Zhengjue
    Hongzhi Zhengjue was a prominent 12th-century Chinese Chan master of the Caodong school, best known for developing and teaching the practice of silent illumination meditation.
  • C. 詹
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • D. Jingyuan
    Jingyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet that saw action in the First Sino-Japanese War.
  • E. Guangbing
    Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • 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: 褒章
Triple: [Medal of Honor (Japan), alsoKnownAs, 褒章]
Generated description
褒章 is a Japanese government decoration awarded to individuals for distinguished achievements and meritorious service in various fields such as public welfare, culture, and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 褒章
Target entity description: 褒章 is a Japanese government decoration awarded to individuals for distinguished achievements and meritorious service in various fields such as public welfare, culture, and industry.
  • A. 奉文
    奉文 is the given name of Tomoyuki Yamashita, a prominent Imperial Japanese Army general during World War II, known as the "Tiger of Malaya."
  • B. Hongzhi Zhengjue
    Hongzhi Zhengjue was a prominent 12th-century Chinese Chan master of the Caodong school, best known for developing and teaching the practice of silent illumination meditation.
  • C. 詹
    詹 is a Chinese surname and character commonly romanized as "Chan" in Cantonese.
  • D. Jingyuan
    Jingyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet that saw action in the First Sino-Japanese War.
  • E. Guangbing
    Guangbing was a warship that served in China's late 19th-century Beiyang Fleet, one of the Qing dynasty's principal modern naval forces.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde71fdc08190b18660261fe24adf completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceaa45e88190a9007885cf7868ef completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf138c00819087913972df96f5ad completed March 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_69afcf8d0318819088f9abd895f8ba0a completed March 10, 2026, 8 a.m.
Created at: March 6, 2026, 9:59 p.m.