Triple

T2172082
Position Surface form Disambiguated ID Type / Status
Subject Richard Tsien E48448 entity
Predicate familyName P18 FINISHED
Object Tsien
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
 E241730 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: Tsien | Statement: [Richard Tsien, familyName, Tsien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tsien
Context triple: [Richard Tsien, familyName, Tsien]
  • A. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • E. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • 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: Tsien
Triple: [Richard Tsien, familyName, Tsien]
Generated description
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tsien
Target entity description: Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
  • A. Tian
    Tian is a Chinese given name commonly used for both males and females, often associated with meanings related to "sky" or "heaven."
  • B. Hui
    The Hui are a predominantly Muslim ethnic group in China known for their integration of Islamic faith with Han Chinese language and cultural practices.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Enlai
    Enlai is the given name of Zhou Enlai, the prominent first Premier of the People's Republic of China and a key figure in Chinese Communist history.
  • E. Luoyi
    Luoyi was an ancient Chinese city that served as a major political and cultural center of the Zhou dynasty.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbec98a648190907ef4c6cad916d3 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d9a74e081909d8945fe03c8d0fa completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e30a69c8190a3f77e784401f671 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea4edcc81908829e4bd64ce0aea completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.