Triple

T14527627
Position Surface form Disambiguated ID Type / Status
Subject Soon-Tek Oh E340820 entity
Predicate name P16 FINISHED
Object Soon-Tek Oh E340820 NE FINISHED

How this triple was built (2 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: Soon-Tek Oh | Statement: [Soon-Tek Oh, name, Soon-Tek Oh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soon-Tek Oh
Context triple: [Soon-Tek Oh, name, Soon-Tek Oh]
  • A. Soon-Tek Oh chosen
    Soon-Tek Oh was a Korean-American actor known for his extensive work in film, television, and voice acting, including prominent roles in Hollywood productions.
  • B. Euisun Chung
    Euisun Chung is a South Korean business executive who serves as the chairman of Hyundai Motor Group, overseeing the global automotive and mobility conglomerate’s strategic direction and innovation.
  • C. Chang-Gyu Hwang
    Chang-Gyu Hwang is a South Korean business executive and technologist best known for his leadership roles at Samsung Electronics, particularly in advancing the semiconductor industry.
  • D. 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.
  • E. Jae-on Kim
    Jae-on Kim is a political scientist known for his work on democratic participation and political equality.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea051bc608190ad4d516c5e7bca43 completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ab24f8c8190bb0e68ebb854844d completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:22 a.m.