Triple

T15591345
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Yu-fan
Teng Yu-fan is a person notable for bearing the Chinese surname Teng.
E1170496 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-fan | Statement: [Teng, hasNotableBearer, Teng Yu-fan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Yu-fan
Context triple: [Teng, hasNotableBearer, Teng Yu-fan]
  • A. 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.
  • B. Teng Yu-kun
    Teng Yu-kun is a Taiwanese film and television director and screenwriter known for his influential work in Mandarin-language cinema and TV dramas.
  • 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. Tung Chao-yung
    Tung Chao-yung was a prominent Hong Kong shipping magnate and founder of the Orient Overseas shipping empire.
  • E. Chen Po-wen
    Chen Po-wen is a film editor best known for his work on the acclaimed Taiwanese historical war drama "Seediq Bale."
  • 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-fan
Triple: [Teng, hasNotableBearer, Teng Yu-fan]
Generated description
Teng Yu-fan 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-fan
Target entity description: Teng Yu-fan is a person notable for bearing the Chinese surname Teng.
  • A. 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.
  • B. Teng Yu-kun
    Teng Yu-kun is a Taiwanese film and television director and screenwriter known for his influential work in Mandarin-language cinema and TV dramas.
  • 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. Tung Chao-yung
    Tung Chao-yung was a prominent Hong Kong shipping magnate and founder of the Orient Overseas shipping empire.
  • E. Chen Po-wen
    Chen Po-wen is a film editor best known for his work on the acclaimed Taiwanese historical war drama "Seediq Bale."
  • 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_69ff6ecba8d08190998fc0688663a328 completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff6f90388c8190bb7cb415f7ee26b2 completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff701b794c8190b4fe2b0693be4dc3 completed May 9, 2026, 5:34 p.m.
Created at: April 10, 2026, 4:11 a.m.