Triple

T15591364
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Yu-ying
Teng Yu-ying is a notable individual who bears the Chinese surname Teng and is recognized for achievements significant enough to be recorded under that family name.
E1199691 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-ying | Statement: [Teng, hasNotableBearer, Teng Yu-ying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Yu-ying
Context triple: [Teng, hasNotableBearer, Teng Yu-ying]
  • A. Teng Yu-hui
    Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
  • B. Teng Yu-hua
    Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • C. Teng Yu-yao
    Teng Yu-yao is a person notable for bearing the Chinese surname Teng.
  • D. Teng Yu-mei
    Teng Yu-mei is a notable individual who bears the Chinese surname Teng and is recognized for contributing to the name’s cultural or historical prominence.
  • E. Teng Yu-ping
    Teng Yu-ping is an individual 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-ying
Triple: [Teng, hasNotableBearer, Teng Yu-ying]
Generated description
Teng Yu-ying is a notable individual who bears the Chinese surname Teng and is recognized for achievements significant enough to be recorded under that family name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teng Yu-ying
Target entity description: Teng Yu-ying is a notable individual who bears the Chinese surname Teng and is recognized for achievements significant enough to be recorded under that family name.
  • A. Teng Yu-hui
    Teng Yu-hui is a person notable for bearing the Chinese surname Teng.
  • B. Teng Yu-hua
    Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
  • C. Teng Yu-yao
    Teng Yu-yao is a person notable for bearing the Chinese surname Teng.
  • D. Teng Yu-mei
    Teng Yu-mei is a notable individual who bears the Chinese surname Teng and is recognized for contributing to the name’s cultural or historical prominence.
  • E. Teng Yu-ping
    Teng Yu-ping is an individual 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_69fffee31b70819092d0583100a7101a completed May 10, 2026, 3:43 a.m.
NEDg Description generation batch_6a00029e85388190bccc4a1996e1738e completed May 10, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0003031a4c8190887000d0179e07e5 completed May 10, 2026, 4:01 a.m.
Created at: April 10, 2026, 4:11 a.m.