Triple

T4268874
Position Surface form Disambiguated ID Type / Status
Subject Wong E96890 entity
Predicate hasVariant P455 FINISHED
Object Wang
Wang is a common Chinese surname shared by many notable figures across politics, arts, science, and sports.
 E426103 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: Wang | Statement: [Wong, hasVariant, Wang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wang
Context triple: [Wong, hasVariant, Wang]
  • A. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. William Wang
    William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
  • C. Wu Bai
    Wu Bai is a Taiwanese rock singer, songwriter, and actor widely regarded as one of the most influential figures in Mandarin rock music.
  • D. Wang Jian
    Wang Jian was a prominent Qin dynasty general whose military campaigns were crucial in the unification of China under Qin rule.
  • E. Wang Da-hong
    Wang Da-hong was a prominent Chinese-Taiwanese modernist architect known for blending Western modernism with traditional Chinese elements in landmark buildings across Taiwan.
  • 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: Wang
Triple: [Wong, hasVariant, Wang]
Generated description
Wang is a common Chinese surname shared by many notable figures across politics, arts, science, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wang
Target entity description: Wang is a common Chinese surname shared by many notable figures across politics, arts, science, and sports.
  • A. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • B. William Wang
    William Wang is a Taiwanese-American entrepreneur best known as the founder and longtime CEO of the consumer electronics company Vizio.
  • C. Wu Bai
    Wu Bai is a Taiwanese rock singer, songwriter, and actor widely regarded as one of the most influential figures in Mandarin rock music.
  • D. Wang Jian
    Wang Jian was a prominent Qin dynasty general whose military campaigns were crucial in the unification of China under Qin rule.
  • E. Wang Da-hong
    Wang Da-hong was a prominent Chinese-Taiwanese modernist architect known for blending Western modernism with traditional Chinese elements in landmark buildings across Taiwan.
  • 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_69b34543f06c8190915ebb1a4574ffa9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ff913608190b6ccf4a85057b07b completed March 12, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b79fe8c08190b4a9e4812babc78e completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5b8f79a7081909a09e9a7e4241472 completed March 14, 2026, 7:37 p.m.
NED2 Entity disambiguation (via description) batch_69b5b967dabc8190913a37a866bb1c9d completed March 14, 2026, 7:39 p.m.
Created at: March 12, 2026, 11:07 p.m.