Triple

T16685390
Position Surface form Disambiguated ID Type / Status
Subject Cho Yeo-jeong E405448 entity
Predicate appearedIn P795 FINISHED
Object Obsessed
Obsessed is a 2014 South Korean erotic romance drama film set during the Vietnam War era, focusing on a forbidden affair between a married colonel and his subordinate’s wife.
 E1228629 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: Obsessed | Statement: [Cho Yeo-jeong, appearedIn, Obsessed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Obsessed
Context triple: [Cho Yeo-jeong, appearedIn, Obsessed]
  • A. Obsessed
    "Obsessed" is a 2009 R&B/pop single by Mariah Carey, known for its confrontational lyrics and catchy hook, widely interpreted as a response to rapper Eminem.
  • B. Obsessed
    Obsessed is a social media account or online persona that is followed by the user Cinco.
  • C. Obsessed
    "Obsessed" is a crime thriller novel in the Michael Bennett series by James Patterson, following the NYPD detective as he tackles a particularly personal and dangerous case.
  • D. Obsessed
    Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
  • E. Obsessed
    Obsessed is a psychological thriller film centered on a woman whose dangerous fixation threatens the life and marriage of the character played by Lisa Sheridan.
  • 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: Obsessed
Triple: [Cho Yeo-jeong, appearedIn, Obsessed]
Generated description
Obsessed is a 2014 South Korean erotic romance drama film set during the Vietnam War era, focusing on a forbidden affair between a married colonel and his subordinate’s wife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Obsessed
Target entity description: Obsessed is a 2014 South Korean erotic romance drama film set during the Vietnam War era, focusing on a forbidden affair between a married colonel and his subordinate’s wife.
  • A. Obsessed
    Obsessed is a psychological thriller film centered on a woman whose dangerous fixation threatens the life and marriage of the character played by Lisa Sheridan.
  • B. Obsessed
    Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
  • C. Obsessed
    Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
  • D. Obsessed
    "Obsessed" is a country-pop studio album by American duo Dan + Shay, featuring romantic, harmony-rich tracks that helped solidify their mainstream success.
  • E. Obsessed
    Obsessed is a social media account or online persona that is followed by the user Cinco.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea550c0819085bd36c44237a61a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091966fbc81908cd1db230ddbb82b completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00920dd72c8190b30d4edd779e7029 completed May 10, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0092e322d08190862ae42a28c9e5cf completed May 10, 2026, 2:14 p.m.
Created at: April 10, 2026, 5:19 a.m.