Triple

T15591343
Position Surface form Disambiguated ID Type / Status
Subject Teng E374749 entity
Predicate hasNotableBearer P458 FINISHED
Object Teng Yu-kang E1165339 NE FINISHED

How this triple was built (2 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-kang | Statement: [Teng, hasNotableBearer, Teng Yu-kang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teng Yu-kang
Context triple: [Teng, hasNotableBearer, Teng Yu-kang]
  • A. Teng Yu-kun chosen
    Teng Yu-kun is a Taiwanese film and television director and screenwriter known for his influential work in Mandarin-language cinema and TV dramas.
  • B. Yuan Wenkang
    Yuan Wenkang is a Chinese actor known for his roles in film and television dramas.
  • C. Tan Chuan-Jin
    Tan Chuan-Jin is a Singaporean politician and former Speaker of Parliament who has held various ministerial roles in the Singapore government.
  • D. Tung Chao-yung
    Tung Chao-yung was a prominent Hong Kong shipping magnate and founder of the Orient Overseas shipping empire.
  • E. Huang Kecheng
    Huang Kecheng was a prominent Chinese Communist military leader and political figure who played key roles in the Chinese Civil War and later served in senior positions in the People’s Liberation Army and the government.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ff5f33310881908dd509c2ab2822ac completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:11 a.m.