Triple

T10419887
Position Surface form Disambiguated ID Type / Status
Subject Kim Lammers E245617 entity
Predicate givenName P17 FINISHED
Object Kim
Kim is a Dutch former field hockey player known for her prolific goal-scoring as a forward on the Netherlands national team.
 E862399 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 Lammers, givenName, Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kim
Context triple: [Kim Lammers, 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 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.
  • C. 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.
  • D. Kim
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • E. 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.
  • 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 Lammers, givenName, Kim]
Generated description
Kim is a Dutch former field hockey player known for her prolific goal-scoring as a forward on the Netherlands national team.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kim
Target entity description: Kim is a Dutch former field hockey player known for her prolific goal-scoring as a forward on the Netherlands national team.
  • A. Kim
    Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
  • B. Kim
    Kim is the given name of American singer-songwriter Kim Carnes, best known for her hit song "Bette Davis Eyes."
  • C. 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.
  • 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 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2aa7848190a7091ee71722fcc6 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc17c874819096b656056ed2dd8a completed April 9, 2026, 7:20 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859fd8f0c8190b0fec880e1180e50 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:11 p.m.