Triple

T1196361
Position Surface form Disambiguated ID Type / Status
Subject Kim Jong Il E25676 entity
Predicate familyName P18 FINISHED
Object Kim
Kim is a common Korean family name shared by many notable figures, including political leaders, entertainers, and historical personalities.
 E113831 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: Kim | Statement: [Kim Jong Il, familyName, Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kim
Context triple: [Kim Jong Il, familyName, Kim]
  • A. Kim
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • B. Ken
    Ken is the iconic male doll character and Barbie’s counterpart, portrayed in the 2023 film as a comically self-aware and insecure figure exploring identity and patriarchy.
  • C. Ken
    Ken is the nickname of Ken Dryden, the legendary Canadian Hall of Fame goaltender best known for backstopping the Montreal Canadiens to multiple Stanley Cup championships in the 1970s.
  • D. Kay Gee
    Kay Gee is an American hip-hop producer best known as a founding member of Naughty by Nature and for crafting influential rap and R&B hits in the 1990s.
  • E. Karen
    Karen is a common feminine given name used in many English-speaking and European countries.
  • 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: Kim
Triple: [Kim Jong Il, familyName, Kim]
Generated description
Kim is a common Korean family name shared by many notable figures, including political leaders, entertainers, and historical personalities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kim
Target entity description: Kim is a common Korean family name shared by many notable figures, including political leaders, entertainers, and historical personalities.
  • A. Kim chosen
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • B. Ken
    Ken is the iconic male doll character and Barbie’s counterpart, portrayed in the 2023 film as a comically self-aware and insecure figure exploring identity and patriarchy.
  • C. Ken
    Ken is the nickname of Ken Dryden, the legendary Canadian Hall of Fame goaltender best known for backstopping the Montreal Canadiens to multiple Stanley Cup championships in the 1970s.
  • D. Kay Gee
    Kay Gee is an American hip-hop producer best known as a founding member of Naughty by Nature and for crafting influential rap and R&B hits in the 1990s.
  • E. Karen
    Karen is a common feminine given name used in many English-speaking and European countries.
  • F. None of above.

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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd7a756c819085d695acfffeaceb completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7658cae8819081da26480926ff83 completed March 7, 2026, 7:02 p.m.
NEDg Description generation batch_69ac770141a88190b71552d46fb4d2ad completed March 7, 2026, 7:05 p.m.
NED2 Entity disambiguation (via description) batch_69ac777a7768819098b9d4dd771a6750 completed March 7, 2026, 7:07 p.m.
Created at: March 1, 2026, 7:46 p.m.