Triple

T8732352
Position Surface form Disambiguated ID Type / Status
Subject Satinder Singh E207286 entity
Predicate coAuthor P398 FINISHED
Object Honglak Lee
Honglak Lee is a computer scientist and researcher known for his contributions to deep learning and representation learning, particularly in unsupervised feature learning.
 E753100 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: Honglak Lee | Statement: [Satinder Singh, coAuthor, Honglak Lee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Honglak Lee
Context triple: [Satinder Singh, coAuthor, Honglak Lee]
  • A. Do Ho Suh
    Do Ho Suh is a South Korean contemporary artist known for his intricate sculptures and installations that explore themes of home, memory, and personal space.
  • B. Joon-Soo Oh
    Joon-Soo Oh is the father of Canadian actress Sandra Oh, known for supporting her early artistic ambitions despite initially encouraging a more traditional career path.
  • C. 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.
  • D. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • E. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean 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: Honglak Lee
Triple: [Satinder Singh, coAuthor, Honglak Lee]
Generated description
Honglak Lee is a computer scientist and researcher known for his contributions to deep learning and representation learning, particularly in unsupervised feature learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Honglak Lee
Target entity description: Honglak Lee is a computer scientist and researcher known for his contributions to deep learning and representation learning, particularly in unsupervised feature learning.
  • A. Do Ho Suh
    Do Ho Suh is a South Korean contemporary artist known for his intricate sculptures and installations that explore themes of home, memory, and personal space.
  • B. Joon-Soo Oh
    Joon-Soo Oh is the father of Canadian actress Sandra Oh, known for supporting her early artistic ambitions despite initially encouraging a more traditional career path.
  • C. 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.
  • D. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • E. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean 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_69ca8358e4008190898471a59b96c301 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d2903b08190a5ef29b6d6ca5f1c completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf292d71ec819082095cb7b8b2d39c completed April 3, 2026, 2:42 a.m.
NEDg Description generation batch_69cf2bd42e6081908e016303eeb2241f completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ce7570481908d8ce6a76443131e completed April 3, 2026, 2:58 a.m.
Created at: March 30, 2026, 6:37 p.m.