Triple

T16889363
Position Surface form Disambiguated ID Type / Status
Subject T.Y. Lin E421625 entity
Predicate givenName P17 FINISHED
Object Tung-Yen
Tung-Yen is the Chinese given name of T.Y. Lin, the influential civil engineer renowned for his pioneering work in modern prestressed concrete design.
 E1239153 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: Tung-Yen | Statement: [T.Y. Lin, givenName, Tung-Yen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tung-Yen
Context triple: [T.Y. Lin, givenName, Tung-Yen]
  • A. Hsiao-chang
    Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
  • B. Yüeh-chih
    Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
  • C. Chien-Po
    Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
  • D. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • E. Peng-Yen
    Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
  • 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: Tung-Yen
Triple: [T.Y. Lin, givenName, Tung-Yen]
Generated description
Tung-Yen is the Chinese given name of T.Y. Lin, the influential civil engineer renowned for his pioneering work in modern prestressed concrete design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tung-Yen
Target entity description: Tung-Yen is the Chinese given name of T.Y. Lin, the influential civil engineer renowned for his pioneering work in modern prestressed concrete design.
  • A. Hsiao-chang
    Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
  • B. Yüeh-chih
    Yüeh-chih were an ancient Indo-European nomadic people of Central Asia who played a key role in the formation of the Kushan Empire and the cultural exchanges along the Silk Road.
  • C. Chien-Po
    Chien-Po is a gentle, large, and good-natured warrior from Disney’s Mulan series, known for his calm demeanor and physical strength.
  • D. Kwang-chou
    Kwang-chou is an alternative romanization of Guangzhou, the major port city and economic hub in southern China historically known in the West as Canton.
  • E. Peng-Yen
    Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc3b5188190ac713b4d4166e961 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c1eee48190bc906e658d7729a4 completed May 10, 2026, 5:39 p.m.
NEDg Description generation batch_6a00c3b4a36c8190804b8616958002fc completed May 10, 2026, 5:43 p.m.
NED2 Entity disambiguation (via description) batch_6a00c4371d7481908ee341415606c0a5 completed May 10, 2026, 5:45 p.m.
Created at: April 10, 2026, 5:29 a.m.