Triple

T22161177
Position Surface form Disambiguated ID Type / Status
Subject Time to Hunt E547671 entity
Predicate antagonist P4675 FINISHED
Object Han
Han is the ruthless and calculating crime boss who serves as the primary villain in the South Korean thriller film "Time to Hunt."
 E1523534 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: Han | Statement: [Time to Hunt, antagonist, Han]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Han
Context triple: [Time to Hunt, antagonist, Han]
  • A. Han
    Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
  • B. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • C. Hal
    Hal is a masculine given name, commonly used as a diminutive form of Harold.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Hane
    Hane is a small coastal village on the Marquesan island of Ua Huka in French Polynesia, known for its archaeological sites and traditional Polynesian culture.
  • 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: Han
Triple: [Time to Hunt, antagonist, Han]
Generated description
Han is the ruthless and calculating crime boss who serves as the primary villain in the South Korean thriller film "Time to Hunt."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Han
Target entity description: Han is the ruthless and calculating crime boss who serves as the primary villain in the South Korean thriller film "Time to Hunt."
  • A. Han
    Han is a common transliteration of the historical Central Asian title "Khan," often associated with rulers and nobility in various Turkic and Mongolic cultures.
  • B. Han
    Han refers to the majority ethnic group in China, historically associated with Chinese civilization, language, and culture.
  • C. Hal
    Hal is a masculine given name, commonly used as a diminutive form of Harold.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Hane
    Hane is a small coastal village on the Marquesan island of Ua Huka in French Polynesia, known for its archaeological sites and traditional Polynesian culture.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2d8064819094d27ef9f15c6a1f completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eba95d48190bc19f69531dbb752 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0aa06763b48190ab0ecdf90de4f463 completed May 18, 2026, 5:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa0c4d1648190b04e6a6cc7afd756 completed May 18, 2026, 5:16 a.m.
Created at: April 16, 2026, 8:34 p.m.