Triple

T1893214
Position Surface form Disambiguated ID Type / Status
Subject Jensen Huang E41919 entity
Predicate familyName P18 FINISHED
Object Huang
Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
 E209935 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: Huang | Statement: [Jensen Huang, familyName, Huang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Huang
Context triple: [Jensen Huang, familyName, Huang]
  • A. 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.
  • B. Huang Hai
    Huang Hai is the Chinese name for the Yellow Sea, a marginal sea of the western Pacific Ocean located between mainland China and the Korean Peninsula.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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: Huang
Triple: [Jensen Huang, familyName, Huang]
Generated description
Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Huang
Target entity description: Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
  • A. 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.
  • B. Huang Hai
    Huang Hai is the Chinese name for the Yellow Sea, a marginal sea of the western Pacific Ocean located between mainland China and the Korean Peninsula.
  • C. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • D. Chen
    Chen is a common Chinese surname borne by many notable individuals across politics, arts, science, and technology.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1480a6c81909fcf5cce4c42fed4 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf6aba788190bb30420375b5db7f completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69addfe604708190b85d6f7261197537 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade0919d748190a4326d4abca2c9eb completed March 8, 2026, 8:48 p.m.
Created at: March 4, 2026, 7:34 p.m.