Triple

T4424866
Position Surface form Disambiguated ID Type / Status
Subject CLIP E95184 entity
Predicate introducedBy P513 FINISHED
Object Jong Wook Kim
Jong Wook Kim is a machine learning researcher known for his contributions to multimodal models, including work on the development of CLIP at OpenAI.
 E445531 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: Jong Wook Kim | Statement: [CLIP, introducedBy, Jong Wook Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jong Wook Kim
Context triple: [CLIP, introducedBy, Jong Wook Kim]
  • A. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • B. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • C. Sung-kyu Jung
    Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • D. Ho-seok Jung
    Ho-seok Jung is a notable individual recognized for achievements significant enough to be associated with the surname Jung.
  • E. Yong-jun Jung
    Yong-jun Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
  • 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: Jong Wook Kim
Triple: [CLIP, introducedBy, Jong Wook Kim]
Generated description
Jong Wook Kim is a machine learning researcher known for his contributions to multimodal models, including work on the development of CLIP at OpenAI.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jong Wook Kim
Target entity description: Jong Wook Kim is a machine learning researcher known for his contributions to multimodal models, including work on the development of CLIP at OpenAI.
  • A. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • B. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • C. Sung-kyu Jung
    Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • D. Ho-seok Jung
    Ho-seok Jung is a notable individual recognized for achievements significant enough to be associated with the surname Jung.
  • E. Yong-jun Jung
    Yong-jun Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69bb61047c88819080943c2ce62c0ffd completed March 19, 2026, 2:35 a.m.
NEDg Description generation batch_69bb677e0ad08190a93a465ce023ab05 completed March 19, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69bb67f4e46c8190b5d4a07a54845b44 completed March 19, 2026, 3:05 a.m.
Created at: March 12, 2026, 11:30 p.m.