Triple

T21686906
Position Surface form Disambiguated ID Type / Status
Subject Smiley Face E535252 entity
Predicate cinematography P1953 FINISHED
Object Shawn Kim
Shawn Kim is a cinematographer known for his work on the film "Smiley Face."
E1498214 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: Shawn Kim | Statement: [Smiley Face, cinematography, Shawn Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Kim
Context triple: [Smiley Face, cinematography, Shawn Kim]
  • A. 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.
  • B. Charles Kim
    Charles Kim is a musician best known as a member of the experimental music collective Boxhead Ensemble.
  • C. Jay Kim
    Jay Kim is a Korean American politician and former U.S. Congressman who became the first Korean American elected to the United States House of Representatives.
  • D. 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.
  • E. Justin Chon
    Justin Chon is a Korean-American actor and filmmaker known for his independent, character-driven films exploring Asian-American experiences.
  • 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: Shawn Kim
Triple: [Smiley Face, cinematography, Shawn Kim]
Generated description
Shawn Kim is a cinematographer known for his work on the film "Smiley Face."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shawn Kim
Target entity description: Shawn Kim is a cinematographer known for his work on the film "Smiley Face."
  • A. 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.
  • B. Charles Kim
    Charles Kim is a musician best known as a member of the experimental music collective Boxhead Ensemble.
  • C. Jay Kim
    Jay Kim is a Korean American politician and former U.S. Congressman who became the first Korean American elected to the United States House of Representatives.
  • D. 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.
  • E. Justin Chon
    Justin Chon is a Korean-American actor and filmmaker known for his independent, character-driven films exploring Asian-American experiences.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24a4e86081908d7c7df5dcfce34c completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a25e3f88c8190b9e45419c281f781 completed May 17, 2026, 8:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0a26ad254081908be75936046e23ca completed May 17, 2026, 8:35 p.m.
Created at: April 16, 2026, 6:44 p.m.