Triple

T1846116
Position Surface form Disambiguated ID Type / Status
Subject Feng Yuxiang E41286 entity
Predicate familyName P18 FINISHED
Object Feng
Feng is a Chinese surname borne by various notable figures in Chinese history and culture.
 E206051 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: Feng | Statement: [Feng Yuxiang, familyName, Feng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feng
Context triple: [Feng Yuxiang, familyName, Feng]
  • A. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • B. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • C. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • D. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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: Feng
Triple: [Feng Yuxiang, familyName, Feng]
Generated description
Feng is a Chinese surname borne by various notable figures in Chinese history and culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feng
Target entity description: Feng is a Chinese surname borne by various notable figures in Chinese history and culture.
  • A. Xue
    Xue is a Chinese surname borne by various notable historical and contemporary figures.
  • B. Ying
    Ying was the principal political and cultural center of the ancient Chinese State of Chu during the Zhou dynasty period.
  • C. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • D. Zeng
    Zeng is a Chinese surname and given name commonly rendered in pinyin and borne by numerous historical and contemporary figures in China.
  • E. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb051640c819088a8b28a03f57331 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9c2e0a081909f521e6f73956239 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaf1917c819090eac27de62494ca completed March 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69adcbba64588190aa0ebd2b6f67afa7 completed March 8, 2026, 7:19 p.m.
Created at: March 4, 2026, 7:33 p.m.