Triple

T23540652
Position Surface form Disambiguated ID Type / Status
Subject C.S. Lee E577736 entity
Predicate birthName P65 FINISHED
Object Sung-Hyung Lee NE NERFINISHED

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: Sung-Hyung Lee | Statement: [C.S. Lee, birthName, Sung-Hyung Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sung-Hyung Lee
Context triple: [C.S. Lee, birthName, Sung-Hyung Lee]
  • A. Yunsup Lee
    Yunsup Lee is a computer architect and entrepreneur best known as a co-creator of the RISC‑V instruction set architecture and a co-founder of the RISC‑V chip company SiFive.
  • B. Kwanghun Chung
    Kwanghun Chung is a neuroscientist and bioengineer known for pioneering advanced tissue-clearing and imaging techniques that enable high-resolution, three-dimensional visualization of biological tissues.
  • C. Jee-Yun Lee
    Jee-Yun Lee is the young daughter of firefighter Maddie Buckley in the television series "9-1-1."
  • D. Kyunghyun Cho
    Kyunghyun Cho is a computer scientist and professor known for his influential work in deep learning and neural machine translation, including early contributions to encoder–decoder architectures and attention mechanisms.
  • E. Chan-sung Jung
    Chan-sung Jung, widely known as "The Korean Zombie," is a South Korean mixed martial artist recognized for his exciting fighting style and success in top MMA promotions like the UFC.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sung-Hyung Lee
Target entity description: Sung-Hyung Lee is a Korean-American actor best known for his role as Vince Masuka on the television series "Dexter."
  • A. Yunsup Lee
    Yunsup Lee is a computer architect and entrepreneur best known as a co-creator of the RISC‑V instruction set architecture and a co-founder of the RISC‑V chip company SiFive.
  • B. Kwanghun Chung
    Kwanghun Chung is a neuroscientist and bioengineer known for pioneering advanced tissue-clearing and imaging techniques that enable high-resolution, three-dimensional visualization of biological tissues.
  • C. Jee-Yun Lee
    Jee-Yun Lee is the young daughter of firefighter Maddie Buckley in the television series "9-1-1."
  • D. Kyunghyun Cho
    Kyunghyun Cho is a computer scientist and professor known for his influential work in deep learning and neural machine translation, including early contributions to encoder–decoder architectures and attention mechanisms.
  • E. Chan-sung Jung
    Chan-sung Jung, widely known as "The Korean Zombie," is a South Korean mixed martial artist recognized for his exciting fighting style and success in top MMA promotions like the UFC.
  • F. None of above. chosen

Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.