Triple

T23484466
Position Surface form Disambiguated ID Type / Status
Subject Lee Dong-hwi E570494 entity
Predicate koreanNameRevisedRomanization P105016 FINISHED
Object I Dong-hwi
I Dong-hwi is a South Korean actor known for his roles in popular films and television dramas.
 E2222284 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: I Dong-hwi | Statement: [Lee Dong-hwi, koreanNameRevisedRomanization, I Dong-hwi]
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: I Dong-hwi
Triple: [Lee Dong-hwi, koreanNameRevisedRomanization, I Dong-hwi]
Generated description
I Dong-hwi is a South Korean actor known for his roles in popular films and television dramas.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: koreanNameRevisedRomanization
Context triple: [Lee Dong-hwi, koreanNameRevisedRomanization, I Dong-hwi]
  • A. hangulNameRomanized chosen
    Indicates that an entity’s Korean Hangul name is represented in its romanized (Latin alphabet) form.
  • B. nameInMcCuneReischauer
    Indicates that an entity’s name is represented using the McCune–Reischauer romanization system.
  • C. hanjaName
    Indicates that one entity is the Sino-Korean (hanja) written form corresponding to the name of another entity.
  • D. laterRomanizedInto
    Indicates that an entity’s original form (such as a name, word, or title) was subsequently converted into a later Romanized (Latin-script) version.
  • E. romanizedUnder
    Indicates that one written form is a romanized representation (using the Latin alphabet) of another form written in a different script.
  • F. None of above.

Provenance (6 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a752c678819087e5c50b8cf87d3d completed April 29, 2026, 6:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40636838e4819090536a5245e53ac5 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a4064ff3f5c8190903b3c4ccf87b35d completed June 28, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_6a406574585c8190a8d9f3565bdd46ea completed June 28, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69f0620ac3608190b36916261ea50f54 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:03 p.m.