Triple

T3955768
Position Surface form Disambiguated ID Type / Status
Subject Contagion (2011 film) E84973 entity
Predicate stars P1956 FINISHED
Object Chin Han
Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
E402940 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: Chin Han | Statement: [Contagion (2011 film), stars, Chin Han]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chin Han
Context triple: [Contagion (2011 film), stars, Chin Han]
  • A. Son Kee-chung
    Son Kee-chung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing under the Japanese name Son Kitei during Japan’s colonial rule over Korea.
  • B. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • C. Johnny Chiang
    Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
  • D. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • E. Ming Lee
    Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
  • 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: Chin Han
Triple: [Contagion (2011 film), stars, Chin Han]
Generated description
Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chin Han
Target entity description: Chin Han is a Singaporean actor known for his roles in major Hollywood films such as The Dark Knight, Contagion, and Skyscraper.
  • A. Son Kee-chung
    Son Kee-chung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing under the Japanese name Son Kitei during Japan’s colonial rule over Korea.
  • B. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • C. Johnny Chiang
    Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
  • D. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • E. Ming Lee
    Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef93f3ad48190b96b98b4aecd6030 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533aea08c8190b83d83e3ba89848c completed March 14, 2026, 10:08 a.m.
NEDg Description generation batch_69b537f7e2e481909b7a337c130bca7a completed March 14, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_69b538a7f8e4819087a74e96255e7c45 completed March 14, 2026, 10:30 a.m.
Created at: March 9, 2026, 3:30 p.m.