Triple

T27317628
Position Surface form Disambiguated ID Type / Status
Subject Xue Xiaoqing E689390 entity
Predicate hasSurnameInChineseCharacters P37098 FINISHED
Object
薛 is a common Chinese surname with historical roots and notable bearers across various fields in Chinese-speaking communities.
E1765925 NE FINISHED

How this triple was built (3 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: 薛 | Statement: [Xue Xiaoqing, hasSurnameInChineseCharacters, 薛]
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: 薛
Triple: [Xue Xiaoqing, hasSurnameInChineseCharacters, 薛]
Generated description
薛 is a common Chinese surname with historical roots and notable bearers across various fields in Chinese-speaking communities.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurnameInChineseCharacters
Context triple: [Xue Xiaoqing, hasSurnameInChineseCharacters, 薛]
  • A. correspondsToChineseSurname
    Indicates that one entity is the Chinese surname equivalent or counterpart of another entity.
  • B. hasCharacterWithSurname
    Indicates that an entity (such as a work or story) includes at least one character whose surname matches the specified name.
  • C. hasMultipleChineseCharacters
    Indicates that the referenced item consists of more than one Chinese character.
  • D. hasComponentSurname chosen
    Indicates that an entity’s full name includes a specified surname as one of its component parts.
  • E. hasJapaneseSurname
    Indicates that the person or entity possesses a surname that is of Japanese origin or is commonly used in Japanese naming conventions.
  • F. None of above.

Provenance (6 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_69ef355c53a08190a8a92e355a7ce115 completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f7c29e1b848190b945c6c6120a5330 completed May 3, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a129cb8941481909bd229aa81a72fce completed May 24, 2026, 6:37 a.m.
NEDg Description generation batch_6a129d7477bc8190ac1956dc68c4df75 completed May 24, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a129e4151208190995590e78cf35502 completed May 24, 2026, 6:44 a.m.
PD Predicate disambiguation batch_69f7c1b6e7a881908deb96bedb2713f4 completed May 3, 2026, 9:44 p.m.
Created at: April 27, 2026, 11:31 a.m.