Triple

T12613213
Position Surface form Disambiguated ID Type / Status
Subject The Good Earth E301180 entity
Predicate starredActor P5563 FINISHED
Object Soo Yong
Soo Yong was a Chinese-American actress known for her roles in early Hollywood films, including the 1937 adaptation of "The Good Earth."
E995911 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: Soo Yong | Statement: [The Good Earth, starredActor, Soo Yong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soo Yong
Context triple: [The Good Earth, starredActor, Soo Yong]
  • A. Yoo Hong Lim
    Yoo Hong Lim is a South Korean academic who serves as the president of Seoul National University, one of the country’s most prestigious universities.
  • B. Wei Ling Soo
    Wei Ling Soo is the stage persona of a skeptical English magician in Woody Allen's film "Magic in the Moonlight," under which he performs as a famed Chinese illusionist.
  • C. Yuk Young-soo
    Yuk Young-soo was the respected First Lady of South Korea and wife of President Park Chung-hee, remembered for her charitable work and her assassination in 1974.
  • D. Yang Jin-mo
    Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
  • E. Shin Young-soo
    Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
  • 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: Soo Yong
Triple: [The Good Earth, starredActor, Soo Yong]
Generated description
Soo Yong was a Chinese-American actress known for her roles in early Hollywood films, including the 1937 adaptation of "The Good Earth."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Soo Yong
Target entity description: Soo Yong was a Chinese-American actress known for her roles in early Hollywood films, including the 1937 adaptation of "The Good Earth."
  • A. Yoo Hong Lim
    Yoo Hong Lim is a South Korean academic who serves as the president of Seoul National University, one of the country’s most prestigious universities.
  • B. Wei Ling Soo
    Wei Ling Soo is the stage persona of a skeptical English magician in Woody Allen's film "Magic in the Moonlight," under which he performs as a famed Chinese illusionist.
  • C. Yuk Young-soo
    Yuk Young-soo was the respected First Lady of South Korea and wife of President Park Chung-hee, remembered for her charitable work and her assassination in 1974.
  • D. Yang Jin-mo
    Yang Jin-mo is a South Korean film editor best known for his acclaimed work on the Academy Award–winning film "Parasite."
  • E. Shin Young-soo
    Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c2e5b88190a7cc16002b218d8a completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6686b9d088190832d1f244e7aa924 completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66a602f088190984fa3381b5be944 completed May 2, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_69f66b18e68881908bf79ab52bcc909e completed May 2, 2026, 9:22 p.m.
Created at: April 9, 2026, 5:12 p.m.