Triple

T3427730
Position Surface form Disambiguated ID Type / Status
Subject Lee Byung-chul E72263 entity
Predicate child P120 FINISHED
Object Lee In-hee
Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
 E359750 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: Lee In-hee | Statement: [Lee Byung-chul, child, Lee In-hee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lee In-hee
Context triple: [Lee Byung-chul, child, Lee In-hee]
  • A. Lee Maeng-hee
    Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
  • B. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • C. Kim Sung-ae
    Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
  • D. Jung Ho-yeon
    Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
  • E. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • 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: Lee In-hee
Triple: [Lee Byung-chul, child, Lee In-hee]
Generated description
Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lee In-hee
Target entity description: Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
  • A. Lee Maeng-hee
    Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
  • B. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • C. Kim Sung-ae
    Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
  • D. Jung Ho-yeon
    Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
  • E. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • 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_69ad85ae14308190bcbc25cfa0246c0b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb983f4608190abcc27aa7b926deb completed March 8, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360c789b48190807bddf1a3bf8d2e completed March 13, 2026, 12:56 a.m.
NEDg Description generation batch_69b3653f5e8481908bc6488b7cd8adf3 completed March 13, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_69b365c56c888190aae64a1cd01d8b8a completed March 13, 2026, 1:17 a.m.
Created at: March 8, 2026, 3:15 p.m.