Triple

T13813873
Position Surface form Disambiguated ID Type / Status
Subject Snow Flower and the Secret Fan E331962 entity
Predicate starring P1507 FINISHED
Object Gianna Jun
Gianna Jun, also known as Jun Ji-hyun, is a renowned South Korean actress celebrated for her roles in hit films and television dramas such as "My Sassy Girl" and "My Love from the Star."
E1063130 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: Gianna Jun | Statement: [Snow Flower and the Secret Fan, starring, Gianna Jun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gianna Jun
Context triple: [Snow Flower and the Secret Fan, starring, Gianna Jun]
  • A. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • B. Gianna Marino
    Gianna Marino is a children's book illustrator and author known for her expressive, nature-rich artwork and storytelling.
  • C. Gianna Fregonara
    Gianna Fregonara is an Italian journalist known for her work in national media and her marriage to politician Enrico Letta.
  • D. Juliana Chew
    Juliana Chew is a notable member of the Chew family, recognized for her significance within this prominent lineage.
  • E. Gianna Giachetti
    Gianna Giachetti is an Italian actress known for her work in film and television.
  • 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: Gianna Jun
Triple: [Snow Flower and the Secret Fan, starring, Gianna Jun]
Generated description
Gianna Jun, also known as Jun Ji-hyun, is a renowned South Korean actress celebrated for her roles in hit films and television dramas such as "My Sassy Girl" and "My Love from the Star."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gianna Jun
Target entity description: Gianna Jun, also known as Jun Ji-hyun, is a renowned South Korean actress celebrated for her roles in hit films and television dramas such as "My Sassy Girl" and "My Love from the Star."
  • A. Gianna
    Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
  • B. Gianna Marino
    Gianna Marino is a children's book illustrator and author known for her expressive, nature-rich artwork and storytelling.
  • C. Gianna Fregonara
    Gianna Fregonara is an Italian journalist known for her work in national media and her marriage to politician Enrico Letta.
  • D. Juliana Chew
    Juliana Chew is a notable member of the Chew family, recognized for her significance within this prominent lineage.
  • E. Gianna Giachetti
    Gianna Giachetti is an Italian actress known for her work in film and television.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8de34a4819090c99cb78b941003 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b974fce88190ace5030555b7b5f1 completed May 3, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:12 p.m.