Triple

T17024546
Position Surface form Disambiguated ID Type / Status
Subject The Karate Kid (2010 film) E413028 entity
Predicate character P662 FINISHED
Object Mr. Han
Mr. Han is the wise, reclusive maintenance man and kung fu master who mentors Dre Parker in the 2010 remake of The Karate Kid.
E1245684 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: Mr. Han | Statement: [The Karate Kid (2010 film), character, Mr. Han]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Han
Context triple: [The Karate Kid (2010 film), character, Mr. Han]
  • A. Mr. Wong
    Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
  • B. Mr. Wuf
    Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
  • C. Mr. Gao
    Mr. Gao is the central protagonist of Ang Lee’s film "The Wedding Banquet," a Taiwanese immigrant in New York who stages a sham marriage to satisfy his traditional parents while secretly living with his male partner.
  • D. Señor Chang
    Señor Chang is the unhinged, often antagonistic Spanish teacher-turned-student from the TV series "Community," known for his erratic behavior and over-the-top antics.
  • E. Hanz On
    Hanz On is a hip-hop producer and affiliate of the Wu-Tang Clan known for his work on projects like "The Meth Lab."
  • 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: Mr. Han
Triple: [The Karate Kid (2010 film), character, Mr. Han]
Generated description
Mr. Han is the wise, reclusive maintenance man and kung fu master who mentors Dre Parker in the 2010 remake of The Karate Kid.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Han
Target entity description: Mr. Han is the wise, reclusive maintenance man and kung fu master who mentors Dre Parker in the 2010 remake of The Karate Kid.
  • A. Mr. Wong
    Mr. Wong is the enigmatic criminal mastermind and primary antagonist in the 1934 mystery film "The Mysterious Mr. Wong."
  • B. Mr. Wuf
    Mr. Wuf is the costumed wolf mascot who represents North Carolina State University's athletic teams and school spirit.
  • C. Mr. Gao
    Mr. Gao is the central protagonist of Ang Lee’s film "The Wedding Banquet," a Taiwanese immigrant in New York who stages a sham marriage to satisfy his traditional parents while secretly living with his male partner.
  • D. Señor Chang
    Señor Chang is the unhinged, often antagonistic Spanish teacher-turned-student from the TV series "Community," known for his erratic behavior and over-the-top antics.
  • E. Hanz On
    Hanz On is a hip-hop producer and affiliate of the Wu-Tang Clan known for his work on projects like "The Meth Lab."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d371148190a60d32a72abec09a completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b514de481909c78c17a3014b468 completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c021e1c819098e04b1cbaf33ecd completed May 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a011c8afb608190b51c7a4c9ccaa0a5 completed May 11, 2026, 12:02 a.m.
Created at: April 10, 2026, 5:33 a.m.