Triple

T13336205
Position Surface form Disambiguated ID Type / Status
Subject Anami E317698 entity
Predicate hasKanjiForm P17917 FINISHED
Object 阿南
阿南 is a Japanese surname and place name commonly used in Japan, written with the kanji characters 阿南.
 E1035281 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: 阿南 | Statement: [Anami, hasKanjiForm, 阿南]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 阿南
Context triple: [Anami, hasKanjiForm, 阿南]
  • A. Ning An
    Ning An is an American classical pianist recognized for his expressive performances and success in major international piano competitions.
  • B. Di An
    Di An is a rapidly developing urban town and industrial hub in southern Vietnam, located within Bình Dương Province near Ho Chi Minh City.
  • C. Ben A’an
    Ben A’an is a popular, small but steep hill in the Trossachs of Scotland, renowned for its short ascent and expansive views over nearby lochs and mountains.
  • D. Khun-Anup
    Khun-Anup is the eloquent peasant of ancient Egyptian literature whose articulate pleas for justice make him a classic symbol of moral and legal righteousness.
  • E. Nam Ou
    Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
  • 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: 阿南
Triple: [Anami, hasKanjiForm, 阿南]
Generated description
阿南 is a Japanese surname and place name commonly used in Japan, written with the kanji characters 阿南.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 阿南
Target entity description: 阿南 is a Japanese surname and place name commonly used in Japan, written with the kanji characters 阿南.
  • A. Ning An
    Ning An is an American classical pianist recognized for his expressive performances and success in major international piano competitions.
  • B. Di An
    Di An is a rapidly developing urban town and industrial hub in southern Vietnam, located within Bình Dương Province near Ho Chi Minh City.
  • C. Ben A’an
    Ben A’an is a popular, small but steep hill in the Trossachs of Scotland, renowned for its short ascent and expansive views over nearby lochs and mountains.
  • D. Khun-Anup
    Khun-Anup is the eloquent peasant of ancient Egyptian literature whose articulate pleas for justice make him a classic symbol of moral and legal righteousness.
  • E. Nam Ou
    Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d00b75c8190af98784c7df904c8 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221af9e881908b65ab2e7aec0c78 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:31 p.m.