Triple

T24046258
Position Surface form Disambiguated ID Type / Status
Subject An Chang-ho E595527 entity
Predicate spouseNameInKorean P154657 FINISHED
Object Lee Hye-ryeon
Lee Hye-ryeon was the wife of Korean independence activist and educator An Chang-ho (Dosan), remembered primarily for her role in supporting his nationalist and reformist work.
 E1938546 NE FINISHED

How this triple was built (3 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 Hye-ryeon | Statement: [An Chang-ho, spouseNameInKorean, Lee Hye-ryeon]
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 Hye-ryeon
Triple: [An Chang-ho, spouseNameInKorean, Lee Hye-ryeon]
Generated description
Lee Hye-ryeon was the wife of Korean independence activist and educator An Chang-ho (Dosan), remembered primarily for her role in supporting his nationalist and reformist work.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: spouseNameInKorean
Context triple: [An Chang-ho, spouseNameInKorean, Lee Hye-ryeon]
  • A. spouseNameInVietnamese
    Indicates that the predicate specifies the name of a person's spouse as written or expressed in the Vietnamese language.
  • B. spouseRealName
    Indicates that one person is the legally recognized spouse of another, using the spouse’s real (non-alias) name.
  • C. spouse name
    Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
  • D. spouseNameInPinyin
    Indicates that it specifies the spouse’s name written in Pinyin (the Romanized form of Chinese characters).
  • E. spouseGivenName
    Indicates that the value is the given (first) name of a person's spouse in the relationship.
  • F. None of above. chosen

Provenance (7 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_69e288c06a908190899cad4531f32c9a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d9ca5a18819086da68b69eed8cc1 completed April 29, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e43934e88190adea7b10d2f72ca0 completed June 10, 2026, 4:12 a.m.
NEDg Description generation batch_6a28e8725e1c8190aa67407dd30526f0 completed June 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a28e8fe05b48190a85b891563c69c45 completed June 10, 2026, 4:33 a.m.
PD Predicate disambiguation batch_69f1764345388190a3102b62ddb729b4 completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f1785afe3c81909be28986ffe944bf completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 10:15 p.m.