Triple

T2035520
Position Surface form Disambiguated ID Type / Status
Subject Ken Jeong E44616 entity
Predicate familyName P18 FINISHED
Object Jeong
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
 E232087 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: Jeong | Statement: [Ken Jeong, familyName, Jeong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeong
Context triple: [Ken Jeong, familyName, Jeong]
  • A. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • B. 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.
  • C. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • D. Soohorang
    Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
  • E. Naong Hyegeun
    Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
  • 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: Jeong
Triple: [Ken Jeong, familyName, Jeong]
Generated description
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeong
Target entity description: Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
  • A. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • B. 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.
  • C. Sojin
    Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
  • D. Soohorang
    Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
  • E. Naong Hyegeun
    Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb934ff948190acd88d4f587463a4 completed March 7, 2026, 5:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2710f6408190b7feb99efa7ce9bb completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae2a45abe4819096505781d6b27bd3 completed March 9, 2026, 2:02 a.m.
NED2 Entity disambiguation (via description) batch_69ae2b0e84108190ab2c0f356836a45c completed March 9, 2026, 2:06 a.m.
Created at: March 4, 2026, 7:39 p.m.