Triple

T13364133
Position Surface form Disambiguated ID Type / Status
Subject Kim Boggs E318893 entity
Predicate givenName P17 FINISHED
Object Kim
Kim is a common given name used for people of any gender in various cultures, often as a short form of names like Kimberly or Kimball.
E1036925 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 Boggs, givenName, Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim
Context triple: [Kim Boggs, givenName, Kim]
  • A. Kim
    Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
  • B. Kim
    Kim is the commonly used nickname of Kim Philby, the infamous British intelligence officer who became a high-ranking Soviet double agent during the Cold War.
  • C. Kim
    Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
  • D. Kim
    Kim is a character in the horror film "Don't Be Afraid of the Dark," involved in the story’s supernatural and suspenseful events.
  • E. Kim
    Kim is a supporting character in the psychological horror film "It Comes at Night," involved in the tense, paranoia-driven dynamics between two families during a mysterious apocalyptic outbreak.
  • 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 Boggs, givenName, Kim]
Generated description
Kim is a common given name used for people of any gender in various cultures, often as a short form of names like Kimberly or Kimball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim
Target entity description: Kim is a common given name used for people of any gender in various cultures, often as a short form of names like Kimberly or Kimball.
  • A. Kim
    Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
  • B. Kim
    Kim is the commonly used nickname of Kim Philby, the infamous British intelligence officer who became a high-ranking Soviet double agent during the Cold War.
  • C. Kim
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • D. Kim
    Kim is a Dutch former field hockey player known for her prolific goal-scoring as a forward on the Netherlands national team.
  • E. Kim
    Kim is a classic adventure novel by Rudyard Kipling that follows an orphaned boy’s coming-of-age amid espionage and cultural crossroads in British-ruled India.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628c71ac81908cfa36342077766e completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7267e9d608190b36f58a92d4a9964 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f72807bae081909f7e66657c03b841 completed May 3, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_69f728afff888190a82e3d4f4fad717b completed May 3, 2026, 10:51 a.m.
Created at: April 9, 2026, 9:32 p.m.