Triple

T7588445
Position Surface form Disambiguated ID Type / Status
Subject Sun I-hsien E179674 entity
Predicate givenName P17 FINISHED
Object Wen
Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
 E675694 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: Wen | Statement: [Sun I-hsien, givenName, Wen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wen
Context triple: [Sun I-hsien, givenName, Wen]
  • A. Wojin
    Wojin is a family surname associated with individuals such as Benji Wojin.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • D. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • E. Wintuan
    Wintuan is a small group of Native American languages historically spoken in northern California, often classified within the proposed Penutian language phylum.
  • 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: Wen
Triple: [Sun I-hsien, givenName, Wen]
Generated description
Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wen
Target entity description: Wen is the given name of Sun I-hsien, a person identifiable by this personal name within Chinese naming conventions.
  • A. Wojin
    Wojin is a family surname associated with individuals such as Benji Wojin.
  • B. Wu
    Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
  • C. Wei
    Wei is a common Chinese surname with historical significance and numerous notable bearers across Chinese history and culture.
  • D. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • E. Wintuan
    Wintuan is a small group of Native American languages historically spoken in northern California, often classified within the proposed Penutian language phylum.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99875908190b09584cf13ea1e08 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8618d29c4819083e78266af8f2daa completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862b8f3688190b0abc00458f70d7e completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.