Triple

T23436234
Position Surface form Disambiguated ID Type / Status
Subject The Worst of Evil E563467 entity
Predicate starring P1507 FINISHED
Object Im Se-mi
Im Se-mi is a South Korean actress known for her versatile supporting and leading roles in television dramas and films.
 E1586214 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: Im Se-mi | Statement: [The Worst of Evil, starring, Im Se-mi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Im Se-mi
Context triple: [The Worst of Evil, starring, Im Se-mi]
  • A. Sepetiba
    Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
  • B. Semmi
    Semmi is a comedic supporting character in the film "Coming to America," serving as Prince Akeem's pampered and often reluctant companion from Zamunda.
  • C. Imlah
    Imlah is a biblical figure known primarily as the father of the prophet Micaiah mentioned in the Old Testament.
  • D. Meantime
    Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
  • E. Meantime
    Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
  • 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: Im Se-mi
Triple: [The Worst of Evil, starring, Im Se-mi]
Generated description
Im Se-mi is a South Korean actress known for her versatile supporting and leading roles in television dramas and films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Im Se-mi
Target entity description: Im Se-mi is a South Korean actress known for her versatile supporting and leading roles in television dramas and films.
  • A. Sepetiba
    Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
  • B. Semmi
    Semmi is a comedic supporting character in the film "Coming to America," serving as Prince Akeem's pampered and often reluctant companion from Zamunda.
  • C. Imlah
    Imlah is a biblical figure known primarily as the father of the prophet Micaiah mentioned in the Old Testament.
  • D. Meantime
    Meantime is Helmet’s influential 1992 heavy metal album known for its precise, riff-driven sound and impact on alternative and post-hardcore music.
  • E. Meantime
    Meantime is a 1983 British television film directed by Mike Leigh that portrays the bleak lives of a working-class family in Thatcher-era London.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5dbdf248190a09e971f2718d01f completed April 29, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b161548190a9017a58147e6201 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72171580819097c9f287d501ae7e completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76e904b08190a5329a3ed56291dc completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:50 p.m.