Triple

T962230
Position Surface form Disambiguated ID Type / Status
Subject Steve Chen E20759 entity
Predicate familyName P18 FINISHED
Object Chen
Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
 E113104 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: Chen | Statement: [Steve Chen, familyName, Chen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chen
Context triple: [Steve Chen, familyName, Chen]
  • A. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • D. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • E. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • 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: Chen
Triple: [Steve Chen, familyName, Chen]
Generated description
Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chen
Target entity description: Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • A. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • D. Chan
    Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
  • E. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b415ac688190bbcef455935a3116 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a6107481909b152291a73958d3 completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac12c5978481909be2d6e1ce85acd5 completed March 7, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69ac132f09448190b5f789f90328f81f completed March 7, 2026, 11:59 a.m.
Created at: March 1, 2026, 7:40 p.m.