Triple

T15591358
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Yu-lan
Teng Yu-lan is a notable individual who bears the Chinese surname Teng and is recognized as one of its distinguished carriers.
E1172915 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-lan | Statement: [Teng, hasNotableBearer, Teng Yu-lan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Yu-lan
Context triple: [Teng, hasNotableBearer, Teng Yu-lan]
  • A. Liu Fang-yu
    Liu Fang-yu is the wife of Taiwanese politician and president Lai Ching-te and is known for maintaining a relatively low public profile.
  • B. Teng Yu-ning
    Teng Yu-ning is a person notable enough to be recognized as a bearer of the surname Teng, though specific widely known biographical details about them are not readily available.
  • C. Teng Yu-hui
    Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
  • D. Teng Yu-hsien
    Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
  • E. Teng Yu-hua
    Teng Yu-hua 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-lan
Triple: [Teng, hasNotableBearer, Teng Yu-lan]
Generated description
Teng Yu-lan is a notable individual who bears the Chinese surname Teng and is recognized as one of its distinguished carriers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teng Yu-lan
Target entity description: Teng Yu-lan is a notable individual who bears the Chinese surname Teng and is recognized as one of its distinguished carriers.
  • A. Liu Fang-yu
    Liu Fang-yu is the wife of Taiwanese politician and president Lai Ching-te and is known for maintaining a relatively low public profile.
  • B. Teng Yu-ning chosen
    Teng Yu-ning is a person notable enough to be recognized as a bearer of the surname Teng, though specific widely known biographical details about them are not readily available.
  • C. Teng Yu-hui
    Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
  • D. Teng Yu-hsien
    Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
  • E. Teng Yu-hua
    Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • F. None of above.

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_69ffdbba9fb08190b800af317f0c9abf completed May 10, 2026, 1:13 a.m.
NEDg Description generation batch_69ffddad79d0819085d4131eca0bda02 completed May 10, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ffde14228c81909e61814cbf44e013 completed May 10, 2026, 1:23 a.m.
Created at: April 10, 2026, 4:11 a.m.