Triple

T8417176
Position Surface form Disambiguated ID Type / Status
Subject New Jersey congressional delegation E198755 entity
Predicate hasRepresentative P192 FINISHED
Object Andy Kim
Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
 E733066 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: Andy Kim | Statement: [New Jersey congressional delegation, hasRepresentative, Andy Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Andy Kim
Context triple: [New Jersey congressional delegation, hasRepresentative, Andy Kim]
  • A. Philip Ahn
    Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
  • B. Michael Kang
    Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
  • C. David Kim
    David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
  • D. Doug Jung
    Doug Jung is an American screenwriter and producer best known for co-writing the science fiction film "Star Trek Beyond."
  • E. 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.
  • 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: Andy Kim
Triple: [New Jersey congressional delegation, hasRepresentative, Andy Kim]
Generated description
Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Andy Kim
Target entity description: Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
  • A. Philip Ahn
    Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
  • B. Michael Kang
    Michael Kang is an American musician best known as a multi-instrumentalist and prominent member of the jam band The String Cheese Incident.
  • C. David Kim
    David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
  • D. Doug Jung
    Doug Jung is an American screenwriter and producer best known for co-writing the science fiction film "Star Trek Beyond."
  • E. 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.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb84c66b5c8190b9515f55dc08ac03 completed March 31, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce033df9c48190a8ec6b9347ba6e81 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce0781859c8190bb92f41c00af459b completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce089d09c08190ba321aed4044a862 completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:06 p.m.