Triple

T1231337
Position Surface form Disambiguated ID Type / Status
Subject Sojin Kamiyama E26448 entity
Predicate givenName P17 FINISHED
Object Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
 E148185 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: Sojin | Statement: [Sojin Kamiyama, givenName, Sojin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sojin
Context triple: [Sojin Kamiyama, givenName, Sojin]
  • A. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • B. Soohorang
    Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • E. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • 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: Sojin
Triple: [Sojin Kamiyama, givenName, Sojin]
Generated description
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sojin
Target entity description: Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • A. Jin
    Jin is a Chinese surname historically associated with the Jewish community of Kaifeng, reflecting their integration into Chinese society while preserving distinct communal identities.
  • B. Soohorang
    Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Joseongeul
    Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
  • E. Seoni
    Seoni is a town and district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to Pench National Park and its association with Rudyard Kipling’s "The Jungle Book."
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5a25348190a0665b6324c4d8f5 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb1730c8190aeb60cad33f44597 completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad4a7cd48190b295dbd1e5327a18 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadba2e54819088a04675493fcbbb completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:47 p.m.