Triple

T15591347
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Yu-hua
Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
E1174364 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: Teng Yu-hua | Statement: [Teng, hasNotableBearer, Teng Yu-hua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Yu-hua
Context triple: [Teng, hasNotableBearer, Teng Yu-hua]
  • A. Teng Yu-hsien
    Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
  • B. Teng Yu-lung
    Teng Yu-lung is an individual notable for bearing the Chinese surname Teng, though specific widely recognized public achievements or roles are not well documented.
  • C. Jiang Yi-huah
    Jiang Yi-huah is a Taiwanese political scientist and politician who served as Premier of the Republic of China (Taiwan) in the early 2010s.
  • D. Kao Hsiao-yuan
    Kao Hsiao-yuan is a notable individual who bears the Chinese surname Kao and is recognized for achievements significant enough to be distinctly recorded.
  • E. Teng Yu-fan
    Teng Yu-fan is a person notable for bearing the Chinese surname Teng.
  • 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: Teng Yu-hua
Triple: [Teng, hasNotableBearer, Teng Yu-hua]
Generated description
Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teng Yu-hua
Target entity description: Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • A. Teng Yu-hsien
    Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
  • B. Teng Yu-lung
    Teng Yu-lung is an individual notable for bearing the Chinese surname Teng, though specific widely recognized public achievements or roles are not well documented.
  • C. Jiang Yi-huah
    Jiang Yi-huah is a Taiwanese political scientist and politician who served as Premier of the Republic of China (Taiwan) in the early 2010s.
  • D. Kao Hsiao-yuan
    Kao Hsiao-yuan is a notable individual who bears the Chinese surname Kao and is recognized for achievements significant enough to be distinctly recorded.
  • E. Teng Yu-fan
    Teng Yu-fan is a person notable for bearing the Chinese surname Teng.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e4b903c8190a35f9267cb38e721 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e56ffc81909e3228a660df4e09 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83b7a534819090e24491579376c3 completed May 9, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_69ff844fa00c8190a47eb46394db097b completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:11 a.m.