Triple

T1818760
Position Surface form Disambiguated ID Type / Status
Subject Ocean's Thirteen E40494 entity
Predicate starring P1507 FINISHED
Object Shaobo Qin
Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
 E211042 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: Shaobo Qin | Statement: [Ocean's Thirteen, starring, Shaobo Qin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shaobo Qin
Context triple: [Ocean's Thirteen, starring, Shaobo Qin]
  • A. Guochuan Lai
    Guochuan Lai is a Chinese businessman best known for his ownership of English football club West Bromwich Albion.
  • B. Liwen Shao
    Liwen Shao is a brilliant and ambitious Chinese businesswoman and technologist in the Pacific Rim universe, known for her pivotal role in developing advanced Jaeger drone technology.
  • C. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • D. Yao Chen
    Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
  • E. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • 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: Shaobo Qin
Triple: [Ocean's Thirteen, starring, Shaobo Qin]
Generated description
Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shaobo Qin
Target entity description: Shaobo Qin is a Chinese acrobat and actor best known for playing the agile explosives expert Yen in the Ocean's film series.
  • A. Guochuan Lai
    Guochuan Lai is a Chinese businessman best known for his ownership of English football club West Bromwich Albion.
  • B. Liwen Shao
    Liwen Shao is a brilliant and ambitious Chinese businesswoman and technologist in the Pacific Rim universe, known for her pivotal role in developing advanced Jaeger drone technology.
  • C. Yuhuai Wu
    Yuhuai Wu is an AI researcher and entrepreneur known for his work on large language models and as a member of Elon Musk’s xAI team.
  • D. Yao Chen
    Yao Chen is a prominent Chinese actress and philanthropist known for her influential social media presence and advocacy on social issues.
  • E. Langche Zeng
    Langche Zeng is a political scientist and quantitative methodologist known for his collaborative work with Gary King on statistical methods in social science research.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f8c4e48190925aec9916dd6c30 completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adead39c208190aa3aaf793c7e3224 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb1049dc8190bbf9aa6ad5ad1ad9 completed March 8, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69adeb8d6c948190a28963faa04b6883 completed March 8, 2026, 9:35 p.m.
Created at: March 4, 2026, 7:32 p.m.