Triple

T20740666
Position Surface form Disambiguated ID Type / Status
Subject The Last Kiss (2006 film) E510429 entity
Predicate character P662 FINISHED
Object Kim
Kim is a fictional character in the 2006 romantic comedy-drama film "The Last Kiss," which explores the complexities of modern relationships and commitment.
E1447802 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: [The Last Kiss (2006 film), character, Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim
Context triple: [The Last Kiss (2006 film), character, 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 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 common given name used for people of any gender in various cultures, often as a short form of names like Kimberly or Kimball.
  • 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: [The Last Kiss (2006 film), character, Kim]
Generated description
Kim is a fictional character in the 2006 romantic comedy-drama film "The Last Kiss," which explores the complexities of modern relationships and commitment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim
Target entity description: Kim is a fictional character in the 2006 romantic comedy-drama film "The Last Kiss," which explores the complexities of modern relationships and commitment.
  • A. 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.
  • B. 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.
  • C. Kim
    Kim is the tragic Vietnamese bar girl and central heroine of the musical "Miss Saigon," whose doomed romance with an American GI drives the story’s emotional core.
  • D. Kim
    "Kim" is a dark, emotionally intense track by Eminem (as Slim Shady) in which he vividly dramatizes a violent confrontation with his then-wife.
  • E. Kim
    Kim is a common Korean surname shared by many notable figures in Korean history and contemporary society.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20e76ac8190985203b2c17aca14 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e83bee00819087ca4a2f57d97590 completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e8aaf8c48190a39ff61647931670 completed May 16, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08e91102e081909b22c8d69c6c994c completed May 16, 2026, 10 p.m.
Created at: April 16, 2026, 12:32 p.m.