Triple

T15591353
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Yu-hui
Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
E1182243 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-hui | Statement: [Teng, hasNotableBearer, Teng Yu-hui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Yu-hui
Context triple: [Teng, hasNotableBearer, Teng Yu-hui]
  • A. Teng Yu-hua
    Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • B. Teng Yu-wen
    Teng Yu-wen is a notable individual who bears the Chinese surname Teng.
  • C. Teng Yu-hsien
    Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
  • D. Teng Yu-chuan
    Teng Yu-chuan is a person notable for bearing the Chinese surname Teng, though specific widely known biographical or professional details about them are not well documented in major public sources.
  • E. 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.
  • 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-hui
Triple: [Teng, hasNotableBearer, Teng Yu-hui]
Generated description
Teng Yu-hui 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-hui
Target entity description: Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
  • A. Teng Yu-hua
    Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • B. Teng Yu-wen
    Teng Yu-wen is a notable individual who bears the Chinese surname Teng.
  • C. Teng Yu-hsien
    Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
  • D. Teng Yu-chuan
    Teng Yu-chuan is a person notable for bearing the Chinese surname Teng, though specific widely known biographical or professional details about them are not well documented in major public sources.
  • E. 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.
  • 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_69ffb0335a0c8190ade4c2f78df3d113 completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb0be9fa88190ab691c4c1d845ea9 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb12f3e4c8190be983f00ae1d5160 completed May 9, 2026, 10:11 p.m.
Created at: April 10, 2026, 4:11 a.m.