Triple

T2639800
Position Surface form Disambiguated ID Type / Status
Subject Ding Ruchang E62836 entity
Predicate familyName P18 FINISHED
Object Ding
Ding is a Chinese surname borne by various notable historical and contemporary figures.
 E283722 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: Ding | Statement: [Ding Ruchang, familyName, Ding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ding
Context triple: [Ding Ruchang, familyName, Ding]
  • A. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • B. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • C. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • D. Ding an sich
    Ding an sich is Immanuel Kant’s term for the “thing-in-itself,” referring to reality as it exists independently of human perception or experience.
  • E. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • 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: Ding
Triple: [Ding Ruchang, familyName, Ding]
Generated description
Ding is a Chinese surname borne by various notable historical and contemporary figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ding
Target entity description: Ding is a Chinese surname borne by various notable historical and contemporary figures.
  • A. Ching
    Ching is the surname of Brian Ching, a retired American soccer player best known as a forward for the Houston Dynamo and the U.S. national team.
  • B. Xiang
    Xiang is the standard abbreviation and common short name used to refer to China’s Hunan Province.
  • C. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • D. Ding an sich
    Ding an sich is Immanuel Kant’s term for the “thing-in-itself,” referring to reality as it exists independently of human perception or experience.
  • E. Zhu
    Zhu is a common Chinese surname borne by many notable historical and contemporary figures in China.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fafad08190939b08558fea6abd completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b8469881909e2c1bd1f4798464 completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af922b33a08190a3b81159f260a180 completed March 10, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69af92859d7c8190bfb5d4fc5a8d8e94 completed March 10, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:53 p.m.